Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, and Sang-Wook Kim, “RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (short paper). (accepted to appear)
Jeewon Ahn*, Hong-Kyun Bae*, and Sang-Wook Kim, “Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (short paper). (*co-first authors with equal contribution) (accepted to appear)
Jiwon Hong and Sang-Wook Kim, “C-Affinity: A Novel Similarity Measure for Effective Data Clustering”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (short paper). (accepted to appear)
Yunyong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong and Sang-Wook Kim, “KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (full paper). (accepted to appear)
Masoud Rehyani Hamedani, JinSu Ryu and Sang-Wook Kim, “GELTOR A Graph Embedding Method based on Listwise Learning to Rank”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (full paper). (accepted to appear)
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin and Sang-Wook Kim, “Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding”, In Proceedings of the ACM Web Conference 2023 (ACM WWW 2023), pp., Texas, USA, April 30 – May 4, 2023 (full paper). (accepted to appear)
Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, and Yongjun Park, “Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems,” In Proc. of the 39th IEEE Int'l. Conf. on Data Engineering (IEEE ICDE 2023), pp., Anaheim, California, USA, April 3-7, 2023 (full paper). (accepted to appear)
Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, and Sang-Wook Kim, “A Competition-Aware Approach to Accurate TV Show Recommendation,” In Proc. of the 39th IEEE Int'l. Conf. on Data Engineering (IEEE ICDE 2023), pp., Anaheim, California, USA, April 3-7, 2023 (full paper). (accepted to appear)
Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim, “LANCER: A Lifetime-Aware News Recommender System”, In Proc. of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), pp., Washington D.C., USA. February 7-14, 2023, (full paper). (accepted to appear)
Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “A GPU-Based Graph Engine for Large-Scale Network Analysis”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM 2022), pp., Busan, Korea, November 13-16, 2022 (unpublished) (short paper).
Yeon-Chang Lee*, JaeHyun Lee*, Dongwon Lee, and Sang-Wook Kim, “THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks”, In Proc. of IEEE International Conference on Data Mining (IEEE ICDM 2022), pp. 1035-1040, Orlando, FL, USA, Nov. 28 - Dec. 1, 2022 (short paper). (*co-first authors with equal contribution)
Taeri Kim*, Noseong Park*, Jiwon Hong, and Sang-Wook Kim, “Phishing URL Detection: A Network-based Approach Robust to Evasion,” In Proc. of the 2022 ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2022), pp. 1769–1782, Los Angeles, CA, USA, Nov. 7-11, 2022 (full paper). (*co-first authors with equal contribution)
Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han, Namhyuk Kim, and Sang-Wook Kim, “ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction,” In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.4500–4504, Atlanta, GA, USA, Oct. 17-21, 2022 (short paper).
Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “RealGraph-GPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis”, In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.4074–4078, Atlanta, GA, USA, Oct. 17-21, 2022 (short paper).
Taeri Kim*, Yeon-Chang Lee*, Kijung Shin, and Sang-Wook Kim, “MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation”, In Proc. of the 31st ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.993–1002, Atlanta, GA, USA, Oct. 17-21, 2022 (full paper). (*co-first authors with equal contribution)
Taeho Kim*, Yungi Kim*, Yeon-Chang Lee, Won-Yong Shin, and Sang-Wook Kim, “Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation”, In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.4138–4142, Atlanta, GA, USA, Oct. 17-21, 2022 (short paper). (*co-first authors with equal contribution)
Namhyuk Kim*, Dong-Kyu Chae*, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, and Sunghwan Park, “Context-aware Traffic Flow Forecasting in New Roads,” In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM 2022), pp.4133–4137, Atlanta, GA, USA, Oct. 17-21, 2022 (short paper). (*co-first authors with equal contribution)
Hong-Kyun Bae, Jeewon Ahn, and Sang-Wook Kim, “A Comparative Study for State-of-the-Art News Recommendation Methods”, In Proc. of the International Conference on Next Generation Computing (ICNGC 2022), pp. 140-142. Jeju, Korea, Oct. 13-16, 2022 (short paper).
Junho Song, Kyungsik Han and Sang-Wook Kim, ““I Have No Text in My Post”: Using Visual Hints to Model User Emotions in Social Media,” In Proc. of the ACM Web Conference (ACM WWW 2022), pp.2888-2896, Lyon, France, April 25-29, 2022 (full paper).
Yunyong Ko, Dongwon Lee and Sang-Wook Kim, “Not All Layer Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training,” In Proc. of the ACM Web Conference (ACM WWW 2022), pp. 1851-1859, Online, April 25-29, 2022 (full paper).
Jiwon Hong, Dong-hyuk Seo, Jeewon Ahn and Sang-Wook Kim, “GraphReformCD: Graph Reformulation for Effective Community Detection in Real-World Graphs”, In Proceedings of the ACM Web Conference 2022 (ACM WWW 2022), pp.180-183, Lyon, France, April 25-29, 2022 (short paper).
Soeun Han, Yunyong Ko, Yushim Kim, Seong Soo Oh, Heejin Park and Sang-Wook Kim, “D-FEND: A Diffusion-Based Fake News Detection Framework for News Articles Related to COVID-19”, In Proc. of the 37th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2022), pp. 1771-1778, Virtual Event, Apr. 25 - 30, 2022 (full paper).
Hongjun Lim*, Yeon-Chang Lee*, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeongjong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You and Sang-Wook Kim, “AiRS: A Large-Scale Recommender System at NAVER News”, In Proc. of the 38th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pp. 3386-3398, Virtual Event, May 9-12, 2022 (full paper). (*co-first authors with equal contribution)
Namhyuk Kim*, Junho Song*, Siyoung Lee, Jeawon Choe, Kyungsik Han, Sunghwan Park and Sang-Wook Kim, “APOTS: A Model for Adversarial Prediction of Traffic Speed”, In Proc. of the 38th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pp.3353 - 3359, Virtual Event, May 9-12, 2022 (short paper). (*co-first authors with equal contribution)
Sung-Jun Park*, Dong-Kyu Chae*, Hong-Kyun Bae, Sumin Park and Sang-Wook Kim, “Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM 2022), pp. 784-793, Virtual Event, Tempe, Arizona, USA, Feb. 21-25, 2022 (full paper). (*co-first authors with equal contribution)
Taeyong Kong*, Taeri Kim*, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park and Sang-Wook Kim, “Linear, or Non-Linear, That is the Question!”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM 2022), pp. 517-525, Virtual Event, Tempe, Arizona, USA, Feb. 21-25, 2022 (full paper). (*co-first authors with equal contribution)
Hyunsik Yoo*, Yeon-Chang Lee*, Kijung Shin and Sang-Wook Kim, “Directed Network Embedding with Virtual Negative Edges”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM 2022), pp. 1291-1299 ,Virtual Event, Tempe, Arizona, USA, Feb. 21-25, 2022 (full paper). (*co-first authors with equal contribution)
Dong-Kyu Chae, Jung Ah Shin and Sang-Wook Kim, “Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation”, In Proc. of IEEE Big Data and Smart Computing (IEEE BigComp 2022), pp.292-295, Daegu, Korea, Jan. 17-20, 2022 (short paper).
Masoud Reyhani Hamedani and Sang-Wook Kim, “Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction?”, In Proc. of the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2021), pp. 378-382, Nov. 18-19, 2021 (full paper).
Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim, “MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups”, In Proc. of the ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2021), pp. 2441-2443. Virtual Event, Republic of Korea, November 15-19, 2021 (short paper).
Yunyong Ko*, Jae-Seo Yu*, Hong-Kyun Bae, Yongjun Park, Dongwon Lee and Sang-Wook Kim, “MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems”, In Proc. of the 21st IEEE International Conference on Data Mining (IEEE ICDM 2021), pp. 290-299, New Zealand, Dec. 7-10, 2021 (full paper). (*co-first authors with equal contribution)
Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han and Sang-Wook Kim, “Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks”, In Proc. of the 21st IEEE International Conference on Data Mining (IEEE ICDM 2021), pp. 1150-1155, New Zealand, Dec. 7-10, 2021 (short paper).
Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee and Sang-Wook Kim, “ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning”, In Proc. of the 30th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2021), pp. 863-872, ONLINE, Nov. 1-5, 2021 (full paper).
Masoud Rehyani Hamedani and Sang-Wook Kim, “AdaSim: A Recursive Similarity Measure in Graphs”, In Proc. of the 30th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2021), pp. 1528-1537, ONLINE, Nov. 1-5, 2021 (full paper).
Wonchang Lee*, Yeon-Chang Lee*, Dongwon Lee and Sang-Wook Kim, “Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks”, In Proc. of ACM SIGIR International Conference on Research and Development in Information Retrieval (ACM SIGIR 2021), pp. 143-152, Virtual Event, July 11-15, 2021 (full paper). (*co-first authors with equal contribution)
Yunyong Ko, Kibong Choi, Jiwon Seo and Sang-Wook Kim, “An In-Depth Analysis of Distributed Training of Deep Neural Networks”, In Proc. of the 35th IEEE Int'l Parallel & Distributed Processing Symposium (IPDPS 2021), pp. 1-10, Portland, Oregon USA, May 17-21, 2021 (full paper).
Hyun-Soung You, Ji-Hong Kim, Won-Yong Shin and Sang-Wook Kim, “Location-Aware Caching via Predicting Heterogeneous File Preferences in Mobile Networks”, In Proc. of the IEEE International Conference on Pervasive Computing and Communications (PerCom 2021), pp. 336-339, Kassel, Germany, March 22-26, 2021 (short paper).
Hong-Kyun Bae, Yeon-Chang Lee and Sang-Wook Kim, “TV Show Recommendation: Methods and Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC 2020), pp. 413-414, Busan, Korea, Nov. 12-14, 2020 (short paper).
Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, and Ho-Jin Choi, “Exploiting Trustors as Well as Trustees in Trust-based Recommendation”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2013), pp. 1893-1896, San Francisco, USA, Oct. 27 – Nov. 1, 2013 (short paper).
Junho Song, Hyekyoung Park, Kyungsik Han and Sang-Wook Kim, “Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2020), pp. 2221-2224, ONLINE, Oct. 19-23, 2020 (short paper).
Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin and Sang-Wook Kim, “CR-Graph: Community Reinforcement for Accurate Community Detection”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2020), pp. 2077-2080, ONLINE, Oct. 19-23, 2020 (short paper).
Yeon-Chang Lee, Nayoun Seo and Sang-Wook Kim, “Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting Results”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2020), pp. 2113-2116, ONLINE, Oct. 19-23, 2020 (short paper).
Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi and Sang-Wook Kim, “A Human-in-the-Loop Approach to Malware Author Classification”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM 2020), pp. 3289-3292, ONLINE, Oct. 19-23, 2020 (short paper).
Dong-Kyu Chae, Jin-Soo Kang and Sang-Wook Kim, “Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation”, In International Conference on Database Systems for Advanced Applications (DASFAA 2020), pp. 607-620, Jeju, South Korea, Sep. 24-27, 2020 (full paper).
Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “RealGraph-Web: A Graph Analysis Platform on the Web”, In Proc. of the 47th International Conference on Very Large Data Bases (VLDB 2021) Demonstration Track, pp. 2775-2778, Copenhagen, Denmark, August 16-20, 2021 (short paper).
Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim, and Kyungsik Han, “ASiNE: Adversarial Signed Network Embedding”, In Proc. of the 43rd Int'l ACM Conf. on Research and Development in Information Retrieval (ACM SIGIR 2020), pp. 609-618, Virtual Event, July 25-30, 2020 (full paper).
Dong-Kyu Chae, Jihoo Kim, Sang-Wook Kim, and Duen Horng Chau, “AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems”, In Proc. of the 43rd Int'l ACM Conf. on Research and Development in Information Retrieval (ACM SIGIR 2020), pp. 1251-1260, Virtual Event, July 25-30, 2020 (full paper).
JeongMyung Lee, Seokwon Kang, YongSeung Yu, Yong-Yeon Jo, Sang-Wook Kim, and Yongjun Park, “Optimization of a GPU-based Sparse Matrix Multiplication for Large Sparse Networks”, In Proc. of the 36th IEEE Int'l Conf. on Data Engineering (IEEE ICDE 2020), pp. 925-936, Dallas, Texas, USA, Apr. 20-24, 2020 (full paper).
Junho Song, Kyungsik Han, Sang-Wook Kim, and Dongwon Lee, “Understanding Emotions in SNS Images From Posters' Perspectives”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2020), pp. 450-457, ONLINE, Mar. 30 - Apr. 3, 2020 (full paper).
Sung-Jun Park, Jiwon Hong, Taeri Kim, Sang-Wook Kim, “Malware Classification: Methods and Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC 2019), pp. 267-268, Johor, Malaysia, Dec. 19-21, 2019 (short paper).
Junho Song and Sang-Wook Kim, “Emotion Classification in Social Media Images”, In Proc. Int'l Conf. on Convergence Content (ICCC 2019), pp. 265-266, Johor, Malaysia, Dec. 19-21, 2019 (short paper).
Jiwon Hong, Sung-Jun Park, Taeri Kim, Yung-Kyun Noh and Sang-Wook Kim, “Malware Classification for Identifying Author Groups: A Graph-based Approach”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2019), pp. 169-174, Chongqing, China, Sep. 24-27, 2019 (full paper).
Yushim Kim, Jihong Kim, Seong Soo Oh, Sang-Wook Kim, and Minyoung Ku, “Subgroup Analysis of an Epidemic Response Network of Organizations: 2015 MERS Outbreak in Korea”, In Proc. of the 20th Annual Int'l Conf. on Digital Government Research (DGO. 2019), pp. 177-185, Dubai, UAE, Jun. 18-20, 2019 (full paper).
Yushim Kim, Jihong Kim, Seong Soo Oh and Sang-Wook Kim, “Epidemic Response Network of Organizations: Detecting Communities in a Forest with Mushroom-trees and Spider-webs”, 2019 Public Management Research Conference (PMRC 2019), pp. 1-20 (PPT slides), North Carolina, USA, Jun. 12-14, 2019 (full paper).
Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, and Sunju Park, “RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs”, In Proc. of the 28th The Web Conference (ACM WWW 2019), pp. 807-817, San Francisco, CA, USA, May 13-17, 2019 (full paper).
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, and Jaeho Choi, “Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering”, In Proc. of the 28th The Web Conference (ACM WWW 2019), pp. 2616-2622, San Francisco, CA, USA, May 13-17, 2019 (short paper).
Kyung-Jae Cho*, Yeon-Chang Lee*, Kyungsik Han, Jaeho Choi and Sang-Wook Kim, “No, That’s Not My Feedback: TV Show Recommendation Using Watchable Interval”, In Proc. of the 35th IEEE Int'l Conf. on Data Engineering (IEEE ICDE 2019), pp. 316-327, Macau SAR, China, Apr. 8-12, 2019 (full paper).
Masoud Reyhani Hamedani and Sang-Wook Kim, “Pairwise Normalization in SimRank Variants: Problem, Solution, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2019), pp. 534-541, Limassol, Cyprus, Apr. 8-12, 2019 (full paper).
Suk-Jin Hong, Yun-Yong Ko, Moon-Jeung Joe and Sang-Wook Kim, “Influence Maximization for Effective Advertisement in Social Networks: Problem, Solution, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2019), pp. 1314-1321, Limassol, Cyprus, Apr. 8-12, 2019 (full paper).
Yeon-Chang Lee, Taeho Kim, Janghoi Koo and Sang-Wook Kim, “Pair-wise Approaches to One-Class Collaborative Filtering in Recommender Systems: Methods and Extensive Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC 2018), pp. 19-20, Jeju Island, Korea, Dec. 17-19, 2018 (short paper).
Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “Graph-Based Recommendation on Single-Machine Based Graph Engines: A Performance Study”, In Proc. of the Int'l. Conf. on Fuzzy Theory and Its Applications (iFUZZY 2018), pp. 173-175, Daegu, Korea, Nov. 14-17, 2018 (short paper).
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim and Jung-Tae Lee, “CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2018), pp. 137-146, Lingotto, Turin, Italy, Oct. 22-26, 2018 (full paper).
Dong-Kyu Chae and Sang-Wook Kim, “Adversarial Training of Deep Autoencoders Towards Recommendation Tasks”, In Proc. of the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2018), pp. 91-95, Guiyang, China, Aug. 22-24, 2018 (full paper).
Kyungsik Han, Yonggeol Jo, Youngseung Jeon, Bogoan Kim, Junho Song and Sang-Wook Kim, “Photos Don't Have Me, But How Do You Know Me?: Analyzing and Predicting Users on Instagram”, In Proc. of the ACM User Modeling, Adaptation and Personalization “Demos, TOR and Late-breaking Results” Track (UMAP 2018), pp. 251-256, Nanyang Technological University, Singapore, July 8-11, 2018 (short paper).
Hyekyoung Park, Junho Song, Kyungsik Han and Sang-Wook Kim, “I Like Your Tagged Photos, But Do We Know Each Other?: Analyzing the Role of Tags in Like Networks”, In Proc. of the 12th IEEE Int'l Conference on Web Services (ICWS 2018), pp. 335-338, San Francisco, USA, July 2-7, 2018 (short paper).
Min-Hee Jang, Sang-Wook Kim, Woong-Kee Loh and Jung-Im Won, “Approximate k-Nearest Neighbor Search Based on the Earth Mover’s Distance for Efficient Content-based Information Retrieval“, In Proc. of the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018), pp. 1-7, Novi Sad, Serbia, June 25-27, 2018 (full paper).
Youngnam Lee, Sang-Wook Kim, Sunju Park and Xing Xie, “How to Impute Missing Ratings? Claims, Solution, and Its Application to Collaborative Filtering“, In Proc. of the 27th Int'l World Wide Web Conference (ACM WWW 2018), pp. 783-792, Lyon, France, Apr. 23-27, 2018 (full paper).
Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung and Sang-Wook Kim, “A High-Performance Graph Engine for Efficient Social Network Analysis”, In Proc. of the 27th Int'l World Wide Web Conference (ACM WWW 2018), pp. 61-62, Lyon, France, Apr. 23-27, 2018 (short paper).
Junho Song, Sungchae Lim and Sang-Wook Kim, “A Novel Join Technique for Similar-Trend Searches supporting Normalization on Time-Series Databases”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2018), pp. 481-486, Pau, France, Apr. 9-13, 2018 (full paper).
Yeon-Chang Lee, Sang-Wook Kim, and Dongwon Lee, “gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items”, In Proc. of Int'l AAAI Conf. on Artificial Intelligence (AAAI 2018), pp. 3448-3456, New Orleans, Louisiana, USA, Feb. 2-7, 2018 (full paper).
Irfan Ali, Sang-Wook Kim, “On Evaluating the Accuracy of Trust-aware Recommendation Approaches”, In Proc. Int'l Conf. on Convergence Content (ICCC 2017), pp. 367-368, Bangkok, Thailand, Dec. 13-16, 2017 (short paper).
Irfan Ali, Sang-Wook Kim, “Aggregation in Group Recommendations: Strategies, Evaluation, and Analysis”, In Proc. Int'l Conf. on Convergence Content (ICCC 2017), pp. 209-210, Bangkok, Thailand, Dec. 13-16, 2017 (short paper).
Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae and Sang-Wook Kim, “A Framework for Estimating Execution Times of IO Traces on SSDs”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2017), pp. 2123-2126, Pan Pacific, Singapore, Nov. 6-10, 2017 (short paper).
Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim, “Incremental Maintenance of C-Rank Scores in Dynamic Web Environment”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC 2017), pp. 1570-1574, Banff, Canada, Oct. 5-8, 2017 (full paper).
Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, “Exploiting Job Transition Patterns for Effective Job Recommendation”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC 2017), pp. 2414-2419, Banff, Canada, Oct. 5-8, 2017 (full paper).
Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, and Eunjee Song, “Efficient Processing of Large-Scale Sparse Matrix-Matrix Multiplications on a Single Machine”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC 2017), pp. 1908-1913, Banff, Canada, Oct. 5-8, 2017 (full paper).
Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim, “On Classifying Dynamic Graph Bags”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2017), pp. 62-66, Krakow, Poland, Sept. 20-23, 2017 (full paper).
Muhammad Umar Chaudhry, Sang-Wook Kim, Jee-Hyong Lee, “An Effective Feature Selection Method using Monte Carlo Search”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2017), pp. 44-45, Krakow, Poland, Sept. 20-23, 2017 (short paper).
Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int'l Conf. on Emerging Database (EDB 2017), pp. 1-10, Busan, Korea, Aug. 7-9, 2017 (full paper).
Jiwon Hong and Sang-Wook Kim, Mina Rho, YoonHee Choi, Yoonsik Tak, “An Accurate, Efficient, and Scalable Approach to Channel Matching in Smart TVs”, In Proc. of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2017), pp. 1025-1028, Tokyo, Japan, Aug. 7-11, 2017 (short paper).
Irfan Ali, Jiwon Hong and Sang-Wook Kim, “Exploiting Implicit and Explicit Signed Trust Relationships for Effective Recommendations,“ In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2017), pp. 804-810, Marrakech, Morocco Apr. 4-6, 2017 (full paper).
Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae and Sang-Wook Kim, “On Detecting Frauds in Comparison-Shopping Services,“ In Proc. of the 26th Int'l World Wide Web Conference (ACM WWW 2017), pp. 811-812, Perth, Australia, Apr. 03-07, 2017 (short paper).
Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int'l Conf. on Emerging Database (EDB 2017), pp. 1-10, Busan, Korea, Aug. 7-9, 2017 (full paper).
Nayoung Kim, Jiwon Hong, Sang-Wook Kim and Hansung Kim, “Analyzing Suicide-Ideation Survey to Identify High-Risk Groups: A Data Mining Approach”, In Proc. of the Int'l Conf. on Green and Human Information Technology (ICGHIT 2017), pp. 86-88, Hangzhou, China, Feb. 15-17, 2017 (short paper).
Jiwon Hong, Sanghyun Park and Sang-Wook Kim, “On Exploiting Static and Dynamic Features in Malware Classification”, in Proc. of the 1st International Workshop on Internet of Things, Social Network, and Security in Big Data (ISSB 2016), Seoul, Korea, Nov. 17-18, 2016 (full paper).
Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, and Jiwoon Ha, “PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information,” In Proc. Int’l Conf. on Information and Knowledge Management, (ACM CIKM 2016), pp. 629-638, Indianapolis, USA, Oct. 24 – 28, 2016 (full paper).
Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang and Sang-Wook Kim, “Data Locality in Graph Engines: Implications and Preliminary Experimental Results,” In Proc. Int’l Conf. on Information and Knowledge Management, (ACM CIKM 2016), pp. 1885-1888, Indianapolis, USA, Oct. 24 – 28, 2016 (short paper).
Kyung-Jae Cho, Yun-Yong Ko and Sang-Wook Kim, “Influence Maximization: Performance Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC 2016), pp. 41-42, Okinawa, Japan, Dec. 10-13, 2016 (full paper).
Min-Hee Jang, Sang-Wook Kim and Jiwoon Ha, “Effectiveness of Reverse Edges and Uncertainty in PIN-TRUST for Trust Prediction”, in the 6th International Conference on Emerging Databases (EDB 2016), pp. 51-55, Jeju Island, Korea, Oct. 17-19, 2016 (full paper).
Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo and Sang-Wook Kim, “Recommendation of Research Papers in DBpia: A Hybrid Approach Exploiting Content and Collaborative Data”, In Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2016), pp. 2966-2971, Budapest, Hungary, Oct. 9-12, 2016 (full paper).
Hyung-ook Kim, Jiwoon Ha and Sang-Wook Kim, “An Efficient and Effective Method to Find Uninteresting Items for Accurate Collaborative Filtering”, In Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2016), pp. 3725-3731, Budapest, Hungary, Oct. 9-12, 2016 (full paper).
Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae and Sang-Wook Kim, “Scalable Collaborative Filtering Based on Efficient Identification of Similar Users”, In Proc. Int'l Conf. on Network Infrastructure and Digital Content (IC-NIDC 2016), pp. 210-213, Beijing, China, Sept. 23-25, 2016. (best paper award) (full paper).
Masoud Reyhani Hamedani and Sang-Wook Kim, “SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning”, In Proc. of the the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2016), pp. 1005-1008, Pisa, Italy, July 17-21, 2016 (short paper).
Won-Seok Hwang, Juan Parc, Sang-Wook Kim, Jongwuk Lee, and Dongwon Lee, ““Told You I Didn't Like It”: Exploiting Uninteresting Items for Effective Collaborative Filtering”, In Proc. of the 32nd IEEE Int'l Conf. on Data En gineering (IEEE ICDE 2016), pp. 349-360, Helsinki, Finland, May 16-20, 2016 (full paper).
Yun-Yong Ko, Dong-Kyu Chae and Sang-Wook Kim, “Accurate Path-based Methods for Influence Maximization in Social Networks”, In Proc. of the 25th Int'l World Wide Web Conference (ACM WWW 2016), pp. 59-60, Montreal, Canada, April 11-15, 2016 (short paper).
Masoud Reyhani Hamedani and Sang-Wook Kim, “SimRank and Its Variants in Academic Literature Data: Measures and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2016), pp. 1102-1107, Pisa, Italy April 4-8, 2016 (full paper).
Yeon-Chang Lee, Jiwon Hong and Sang-Wook Kim, “Job Recommendation in AskStory: Experiences, Methods, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2016), pp. 780-786, Pisa, Italy April 4-8, 2016 (full paper).
Yong-Yeon Jo, SungWoo Cho, Sang-Wook Kim, and Hyunok Oh, “Collaborative Processing of Data-Intensive Algorithms with CPU, Intelligent SSD, and GPU”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2016), pp. 1865-1870, Pisa, Italy April 4-8, 2016 (full paper).
Hee-Jeong Kim, Dong-Kyu Chae, Jongwuk Lee and Sang-Wook Kim, “Analyzing Crowdsourced Promotion Effects in Online Social Networks”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2016), pp. 820-823, Pisa, Italy April 4-8, 2016 (short paper).
Jongwuk Lee, Dongwon Lee and Sang-Wook Kim, “CrowdSky: Crowdsourced Skyline Query Processing”, In Proc. of the 19th International Conference on Extending Database Technology (EDBT 2016), pp. 125-136, Bordeaux, France, March 15-18, 2016 (full paper).
Yong-Yeon Jo, Moonjun Chung, Sang-Wook Kim, and Hyunok Oh, “Data Mining in Intelligent SSD: Simulator-Based Evaluation”, In Proc. of Big Data and Smart Computing (BigComp 2016), pp. 123-128, Hong Kong, China, January 18-20, 2016 (full paper).
Hyun-Kyo Oh and Sang-Wook Kim, “Robust Features for Trustable Aggregation of Online Ratings,” In Proc. of the 10th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2016), Danang, Vietnam, January 4-6, 2016 (full paper).
Jiwoon Ha, Hyung-ook Kim and Sang-Wook Kim, “Data Imputation for Accurate Recommendation: A Proposal”, In Proc. Int'l Conf. on Convergence Content (ICCC 2015), pp. 357-358, Kota Kinabalu, Malaysia, Dec. 11-14, 2015 (short paper).
Yong-Yeon Jo, Sang-Wook Kim, and Duck-Ho Bae, “Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2015), pp. 1261-1270, Melbourne, Australia, Oct. 19-23, 2015 (full paper).
Dong-Kyu Chae, Sang-Wook Kim, Seong-Je Cho, and Yesol Kim, “DAAV: Dynamic API Authority Vectors for Detecting Software Theft”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2015), pp. 1819-1822, Melbourne, Australia, Oct. 19-23, 2015 (short paper).
Kyosung Jeong, Sang-Wook Kim, and Sung-Chae Lim, “A Flash-aware Buffering Scheme using On-the-fly Redo”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2015), pp. 1683-1686, Melbourne, Australia, Oct. 19-23, 2015 (short paper).
Hyun-Kyo Oh, Taehee Lee and Sang-Wook Kim, “Finding Underlying Factors for Reciprocal Trust Formation,” In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2015), pp. 86-91, Prague, Czech, Oct. 9-12, 2015 (full paper).
Jiwoon Ha, Soon-Hyoung Kwon and Sang-Wook Kim, “On Recommending Newly Published Academic Papers”, In Proc. of the ACM Conference on Hypertext and Social Media (ACM Hypertext 2015), pp. 329-330, Cyprus, Turkey, Sep. 1-4, 2015 (short paper).
Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, Sheng Gao and Ji-Yong Hwang, “On Recommending Job Openings”, In Proc. of the ACM Conference on Hypertext and Social Media (ACM Hypertext 2015), pp. 331-332, Cyprus, Turkey, Sep. 1-4, 2015 (short paper).
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Dong-Kyu Chae, “A Tripartite-Graph Based Recommendation Framework for Price-Comparison Services,” (Computer Science and Information Systems 2019), Vol. 16, No. 2, pp. 333-357, Jun. 2019 (short paper).
Yong-Yeon Jo, SungWoo Cho, Sang-Wook Kim, Duck-Ho Bae and Hyunok Oh, “On Running Data-Intensive Algorithms with Intelligent SSD and Host CPU: A Collaborative Approach”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2015), pp. 2060-2065, Salamanca, Spain, April 13-17, 2015 (full paper).
Irfan Ali and Sang-Wook Kim, “An Effective Approach to Group Recommendation Based on Belief Propagation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2015), pp. 1148-1153, Salamanca, Spain, April 13-17, 2015 (full paper).
Irfan Ali and Sang-Wook Kim, “Group Recommendations: Approaches and Evaluation”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC 2015), Bali, Indonesia, Jan. 8–10, 2015 (full paper).
Won-Seok Hwang, Jung Park and Sang-Wook Kim, “A Method for Recommending the Latest News Articles via MinHash and LSH”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC 2015), Bali, Indonesia, Jan. 8–10, 2015 (full paper).
Saad Sajid Hashmi and Sang-Wook Kim, “Unsupervised Detection of Obfuscated Diverse Attacks in Recommender Systems”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2014), pp. 40-45, Baltimore, MD, USA, Oct. 5-8, 2014 (full paper).
Jiwoon Ha, Soon-Hyong Kwon, Sang-Wook Kim, and Dongwon Lee, “Recommendation of Newly Published Research Papers using Belief Propagation”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2014), pp. 77-81, Baltimore, MD, USA, Oct. 5-8, 2014 (full paper).
Won-Seok Hwang and Sang-Wook Kim, “Post Ranking in a Blogosphere: Algorithms and Evaluation”, (ACM SIGAPP 2015) Applied Computing Review, Vol. 15, No. 1, pp. 26-32, Mar. 2015 (full paper).
Yong-Yeon Jo, Sang-Wook Kim and Duck-Ho Bae, “GPU-based Matrix Multiplication Methods for Social Networks Analysis”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2014), pp. 309-313, Baltimore, MD, USA, Oct. 5-8, 2014 (full paper).
Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, and Young Kyun Shin, “Exploiting the uFLIP Benchmark for Analyzing SSDs Performance” In Proc. Int'l Conf. on Network Infrastructure and Digital Content (IC-NIDC 2014), pp. 458-461, Beijing, China, Sept. 19-21, 2014 (full paper).
Masoud Reyhani Hamedani, Sang-Wook Kim, “On Computing Similarity in Academic Literature Data: Methods and Evaluation”, In Proc. of the 1st int'l workshop on big data systems and services (BIDASYS 2014), pp. 403-412, Macau SAR, China, June 16-18, 2014 (full paper).
Min-Hee Jang, Christos Faloutsos and Sang-Wook Kim “Trust Prediction Using Positive, Implicit, and Negative Information”, In Proc. of the 23th Int'l World Wide Web Conference (ACM WWW 2014), pp. 303-304, Seoul, Korea, Apr. 7 - 11, 2014 (short paper).
Hyun-Kyo Oh, Yoohan Noh, Sang-Wook Kim, and Sunju Park, “SepaRating: An Approach to Reputation Computation Based on Rating Separation in e-Marketplace”, In Proc. of the 23th Int'l World Wide Web Conference (ACM WWW 2014), pp. 351-352, Seoul, Korea, Apr. 7 - 11, 2014 (short paper).
Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, and Kichun Lee, “Data Imputation Using a Trust Network for Recommendation via Matrix Factorization”, (Computer Science and Information Systems 2018), Vol. 15, No. 2, pp. 347-368, Jun. 2018 (short paper).
Hee-Jeong Kim, Dong-Kyu Chae, Jongwuk Lee and Sang-Wook Kim, “Analyzing Crowdsourced Promotion Effects in Online Social Networks”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2016), pp. 820-823, Pisa, Italy April 4-8, 2016 (short paper).
Seok-Ho Yoon, Ji-Soo Kim, Jiwoon Ha, Sang-Wook Kim, Minsoo Ryu and Ho-Jin Choi, “Reachability Vectors: Features for Link-Based Similarity Measures”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2014), pp. 594-597, Gyeongju, Korea, Mar. 24-28, 2014 (full paper).
Jiwon Hong, Won-Seok Hwang, Jin-Hyung Kim and Sang-Wook Kim, “Context-Aware Music Recommendation in Mobile Smart Devices”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2014), pp. 1463-1468, Gyeongju, Korea, Mar. 24-28, 2014 (full paper).
Dong-Jin Kim, Sang-Chul Lee, Ho-Yong Son, Sang-Wook Kim and Jae Bum Lee, “C-Rank: A Contribution-Based Ranking Approach Exploiting Links and Content”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2014), pp. 908-912, Gyeongju, Korea, Mar. 24-28, 2014 (full paper).
Duck-Ho Bae, Jong-Min Lee, Sang-Wook Kim, Youngjoon Won, and Yong Su Park, “Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics”, (IEICE Transactions on Information and Systems 2014), Vol. E97-D, No. 6, pp. 1664-1667, June 2014 (short paper).
Duck-Ho Bae, Se-Mi Park, Sang-Wook Kim, Ji-Woong Chang, Byeong-Soo Jeong and Jiman Hong, “An Effective Data Clustering Method based on Expected Update Time in Flash Memory Environment”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2014), pp. 1492-1497, Gyeongju, Korea, Mar. 24-28, 2014 (full paper).
Duck-Ho Bae, Seok-Ho Yoon, Tae-Hwan Eom, Jiwoon Ha, Young-Sup Hwang and Sang-Wook Kim, “Computing Paper Similarity based on Latent Dirichlet Allocation”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC 2014), Siem Reap, Cambodia, Jan. 9-11, 2014 (short paper).
Hyun-Kyo Oh and Sang-Wook Kim, “Robust Features for Trustable Aggregation of Online Ratings,” In Proc. of the 10th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2016), Danang, Vietnam, January 4-6, 2016 (full paper).
Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boo-Joong Kang, and Eul-Gyu Im, “Software Plagiarism Detection: A Graph-based Approach”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2013), pp. 1577-1580, San Francisco, USA, Oct. 27 – Nov. 1, 2013 (short paper).
Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “On Exploiting Content and Citations Together to Compute Similarity of Scientific Papers”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2013), pp. 1553-1556, San Francisco, USA, Oct. 27 – Nov. 1, 2013 (short paper).
Duck-Ho Bae, Jin-Hyung Kim, Yong-Yeon Jo, Sang-Wook Kim, Hyunok Oh, Chanik Park, “Intelligent SSD: A Turbo for Big Data Mining,” (Computer Science and Information Systems 2016), Vol. 13, No. 2, pp. 375-393, June 2016 (short paper).
Jongwuk Lee, Myungha Jang, Dongwon Lee, Won-Seok Hwang, Jiwon Hong and Sang-Wook Kim, “Alleviating the Sparsity in Collaborative Filtering using Crowdsourcing”, In Proc. of Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec 2013), Hong Kong, Oct. 12, 2013 (short paper).
Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Joon-Ho Lee, “Recommendation in Online Shopping Malls: Results and Experiences”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS 2013), pp. 116-117, Montreal, QC, Canada, Oct. 1-4, 2013 (short paper).
Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “On Combining Text-based and Link-based Similarity Measures for Scientific Papers”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS 2013), pp. 111-115, Montreal, QC, Canada, Oct. 1-4, 2013 (full paper).
Min-Hee Jang, Tae-Hwan Eom, Sang-Wook Kim and Young-Sup Hwang, “A Semantic Similarity Measure in Document Databases: An Earth Mover's Distance-Based Approach”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS 2013), pp. 94-99, Montreal, QC, Canada, Oct. 1-4, 2013 (full paper).
Yoonsuk Kang, Yong-Yeon Jo, Duck-Ho Bae and Sang-Wook Kim, “Running Data Mining Algorithms on SSDs” In Proc. Int'l Conf. on Emerging Databases-Technologies, Applications, and Theory (EDB 2013), pp. 180-183, Jeju Island, Korea, Aug. 19-21, 2013 (short paper).
Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “Performance Evaluation of Text-based and Linkbased Similarity Measures for Scientific Papers” In Proc. Int'l Conf. on Emerging Databases-Technologies, Applications, and Theory (EDB 2013), pp. 188-191, Jeju Island, Korea, Aug. 19-21, 2013 (short paper).
Dong-Kyu Chae, Jiwoon Ha, Sang-Chul Lee, Sang-Wook Kim, and Gyun Woo, “Software Plagiarism Detection via the Static API Call Frequency Birthmark”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2013), pp. 1639-1643, Coimbra, Portugal, Mar. 18-22, 2013 (full paper).
Junghoon Lee, Sang-Wook Kim, and Gyung-Leen Park, “A Tour Recommendation Service for Electric Vehicles Based on a Hybrid Orienteering Model,“ In Proc. of the ACM Symp. on Applied Computing (ACM SAC 2013), pp. 1652-1654, Coimbra, Portugal, Mar. 18-22, 2013 (full paper).
Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, and Kichun Lee, “A Probability-Based Trust Prediction Model Using Trust-Message Passing” In Proc. Int'l Conf. on World Wide Web, (ACM WWW 2013). pp. 161-162, Rio de janeiro, Brazil, May. 13-17, 2013 (short paper).
Sang-Chul Lee, Yoon-Suk Kang, Seihyun Jeong, Min-Hee Jang, Young-Sup Hwang, Sang-Wook Kim, “Selecting Similar Users in Collaborative Filtering”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT 2013), pp. 141-144, Hanoi, Vietnam, Feb. 27 - Mar. 1, 2013 (short paper).
Sang-Chul Lee, Jeongjin Song, Young-Sup Hwang, Sang-Wook Kim, “Reflecting User's Diversity Tendency in Recommendation Systems”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT 2013), pp. 137-140, Hanoi, Vietnam, Feb. 27 - Mar. 1, 2013 (short paper).
Duck-Ho Bae, Sang-Wook Kim, Ji-Woong Chang, “Record Management Maximizing the Effect of Group Writes in Flash Memory Environment”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT 2013), pp. 149-152, Hanoi, Vietnam, Feb. 27 - Mar. 1, 2013 (short paper).
Duck-Ho Bae, Byeongho Kang, Tae-Hoon Kim, Jong-Min Lee, Young-Sup Hwang, Sang-Wook Kim, “Efficient Team Formation in Expert Networks”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT 2013), pp. 145-148, Hanoi, Vietnam, Feb. 27 - Mar. 1, 2013 (short paper).
Seok-Ho Yoon, Suk-Soon Song, Sang-Chul Lee, Kyo-sung Jeong, Sang-Wook Kim, Sooyong Kang, Yong Suk Choi, Jaehyuk Cha, Minsoo Ryu, and Byung-Soo Jeong, “A Data Partitioning Approach for Hierarchical Clustering”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC 2013), Kota Kinabalu, Malaysia, Jan. 17-19, 2013 (short paper).
Jiwoon Ha, Soon-Hyoung Kwon, Sang-Wook Kim, Christos Faloutsos, and Sunju Park, “Top-N Recommendation through Belief Propagation”, In Proc. ACM Int’l Conf. on Information and Knowledge Management (ACM CIKM 2012), pp.2343-2346, Sheraton, Maui Hawaii, Oct. 29 – Nov. 2, 2012 (short paper).
Duck-Ho Bae, Seo Jeong, Sang-Wook Kim, and Minsu Lee, “Outlier Detection using Centrality and Center-Proximity”, In Proc. ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2012), pp. 2251-2254, Oct. 29 – Nov. 2, 2012 (short paper).
Won-Seok Hwang, Ho-Jong Lee, Sang-Wook Kim, and Minsoo Lee, “On Using Category Experts for Improving the Performance and Accuracy in Recommender Systems”, In Proc. ACM Int’l Conf. on Information and Knowledge Management (ACM CIKM 2012), pp.2355-2358, Sheraton, Maui Hawaii, Oct. 29 – Nov. 2, 2012 (short paper).
Jum-Im Won, Min-Hee Jang, Sang-Wook Kim, and Jin-Soo Cho, “Hierarchical Data Organization for Effective Retrieval of Similar Shaders”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS 2012), pp. 43-48, San Antonio, TX, USA, Oct. 23-26, 2012 (full paper).
Hong-jin Kim, Sang-chul Lee, Sang-Wook Kim, and Jiwoon Ha, “User-Profile Based Recommendation for u-Health Contents”, In Proc. Int'l Congress of Oriental Medicine (ICOM 2012) (full paper).
Kyu-Hwang Kang, Seung-Hwan Lim, Sang-Wook Kim, Min-Hee Jang, and Byeong-Soo Jeong, “A Topic-Oriented Analysis of Information Diffusion in a Blogosphere”, In Proc. 23th Intl. Workshop on Database and Expert Systems Applications (DEXA2012), pp. 129-140, Vienna, Austria, Sep. 3-6, 2012 (full paper).
Sang-Chul Lee, Si-Yong Lee, Sang-Wook Kim, and Jin-Soo Cho, “Indexing in Collaborative Filtering: An Experimental Study”, In Proc. of Int'l Conf. on Emerging Databases-Technologies,Applications and Theory (EDB 2012), pp. 313-316, Seoul, Korea, Aug. 23-25, 2012 (short paper).
Duck-Ho Bae, Sang-Wook Kim, and Ji-Woong Chang, “Container-Based Record Management in SLC NAND Flash Memory,” In Proc. of Int'l Conf. on Emerging Databases-Technologies,Applications and Theory (EDB 2012), pp. 255-258, Seoul, Korea, Aug. 23-25, 2012 (short paper).
Hyun-Kyo Oh, Seok-Ho Yoon, Sang-Wook Kim, and Seungdo Jeong, “Hierarchical Clustering and Outlier Detection for Effective Image Data Organization”, The 6th International Conference on Ubiquitous Information Management and Communication (ACM ICUIMC 2012), Kuala Lumpur, Malaysia, Feb. 20-22, 2012 (short paper).