Showing results 1 to 26 of 26
Action Space Learning for Heterogeneous User Behavior Prediction Lee, Dongha; Park, Chanyoung; Ju, Hyunjun; Hwang, Junyoung; Yu, Hwanjo, 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, pp.2830 - 2836, International Joint Conferences on Artificial Intelligence, 2019-08-10 |
An encoder-decoder switch network for purchase prediction Park, Chanyoung; Kim, Donghyun; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.185, 2019-12 |
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network Lee, Seonghyun; Park, Chanyoung; Yu, Hwanjo, 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, pp.619 - 628, Association for Computing Machinery, 2019-11 |
Bootstrapping User and Item Representations for One-Class Collaborative Filtering Lee, Dongha; Kang, SeongKu; Ju, Hyunjun; Park, Chanyoung; Yu, Hwanjo, ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2021-07-11 |
Click-aware purchase prediction with push at the top Park, Chanyoung; Kim, Donghyun; Yang, Min-Chul; Lee, Jung-Tae; Yu, Hwanjo, INFORMATION SCIENCES, v.521, pp.350 - 364, 2020-06 |
Collaborative Translational Metric Learning Park, Chanyoung; Kim, Donghyun; Xie, Xing; Yu, Hwanjo, 18th IEEE International Conference on Data Mining, ICDM 2018, Institute of Electrical and Electronics Engineers Inc., 2018-11-17 |
Convolutional Matrix Factorization for Document Context-Aware Recommendation Kim, Donghyun; Park, Chanyoung; Yu, Hwanjo; Oh, Jinoh, 10th ACM Conference on Recommender Systems, RecSys '16, pp.233 - 240, ACM, 2016-09-15 |
Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
Deep multiplex graph infomax: Attentive multiplex network embedding using global information Park, Chanyoung; Han, Jiawei; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.197, 2020-06 |
Do "Also-Viewed" Products Help User Rating Prediction? Park, Chanyoung; Yu, Hwanjo; Kim, Donghyun; Oh, Jinoh, WWW '17: Proceedings of the 26th International Conference on World Wide Web, pp.1113 - 1122, International World Wide Web Conference Committee, 2017-04-03 |
Fast and Memory-Efficient Algorithms for High-Order Tucker Decomposition Zhang, Jiyuan; Oh, Jinoh; Shin, Kijung; Papalexakis, Evangelos E.; Faloutsos, Christos; Yu, Hwanjo, KNOWLEDGE AND INFORMATION SYSTEMS, v.62, no.7, pp.2765 - 2794, 2020-07 |
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization Hyun, Dongmin; Wang, Xiting; Park, Chanyoung; Xie, Xing; Yu, Hwanjo, 2022 Findings of the Association for Computational Linguistics: EMNLP 2022, pp.2939 - 2951, Association for Computational Linguistics (ACL), 2022-12 |
Improving top-K recommendation with truster and trustee relationship in user trust network Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.374, pp.100 - 114, 2016-12 |
Interest Sustainability-Aware Recommender System Hyun, Dongmin; Cho, Junsu; Park, Chanyoung; Yu, Hwanjo, 20th IEEE International Conference on Data Mining, ICDM 2020, pp.192 - 201, IEEE, 2020-11-17 |
Learnable Structural Semantic Readout for Graph Classification Lee, Dongha; Kim, Su; Lee, Seonghyun; Park, Chanyoung; Yu, Hwanjo, 21st IEEE International Conference on Data Mining (IEEE ICDM), pp.1180 - 1185, IEEE, 2021-12-07 |
Learning to utilize auxiliary reviews for recommendation Hyun, Dongmin; Park, Chanyoung; Cho, Junsu; Yu, Hwanjo, INFORMATION SCIENCES, v.545, pp.595 - 607, 2021-02 |
Leveraging spatial join for robust tuple extraction from web pages Han, Wook-Shin; Kwak, Wooseong; Yu, Hwanjo; Lee, Jeong-Hoon; Kim, Min-Soo, INFORMATION SCIENCES, v.261, pp.132 - 148, 2014-03 |
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, 9th ACM Conference on Recommender Systems, pp.1 - 4, ACM, 2015-09-16 |
Processing SPARQL queries with regular expressions in RDF databases Lee, Jinsoo; Pham, Minh-Duc; Lee, Jihwan; Han, Wook-Shin; Cho, Hune; Yu, Hwanjo; Lee, Jeong-Hoon, BMC BIOINFORMATICS, v.12, 2011-03 |
Review Sentiment-Guided Scalable Deep Recommender System Hyun, Dongmin; Park, Chanyoung; Yang, Min-Chul; Song, Ilhyeon; Lee, Jung-Tae; Yu, Hwanjo, ACM SIGIR Conference on Research and Development in Information Retrieval , pp.965 - 968, ACM, 2018-07-08 |
S-HOT: Scalable High-Order Tucker Decomposition Oh, Jinoh; Shin, Kijung; Papalexakis, Evangelos E.; Faloutsos, Christos; Yu, Hwanjo, ACM International Conference on Web Search and Data Mining (WSDM), ACM Special Interest Group on Information Retrieval (SIGIR), 2017-02-09 |
Sequential and Diverse Recommendation with Long Tail Kim, Yejin; Kim, Kwangseob; Park, Chanyoung; Yu, Hwanjo, 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, pp.2740 - 2746, International Joint Conferences on Artificial Intelligence, 2019-08-10 |
Target-aware convolutional neural network for target-level sentiment analysis Hyun, Dongmin; Park, Chanyoung; Yang, Min-Chul; Song, Ilhyeon; Lee, Jung-Tae; Yu, Hwanjo, INFORMATION SCIENCES, v.491, pp.166 - 178, 2019-07 |
Task-Guided Pair Embedding in Heterogeneous Network Park, Chanyoung; Kim, Donghyun; Zhu, Qi; Han, Jiawei; Yu, Hwanjo, 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, pp.489 - 498, Association for Computing Machinery, 2019-11-03 |
TRecSo: Enhancing Top-k Recommendation With Social Information Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web, pp.89 - 90, International World Wide Web Conference Committee, 2016-04-15 |
Unsupervised Differentiable Multi-aspect Network Embedding Park, Chanyoung; Yang, Carl; Zhu, Qi; Kim, Donghyun; Han, Jiawei; Yu, Hwanjo, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2020, Association for Computing Machinery, 2020-08-23 |
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