Li CHEN

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Li CHEN, Prof

 https://orcid.org/0000-0002-5842-838X
20092025

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  • 2024

    Adaptive Hardness Negative Sampling for Collaborative Filtering

    Lai, R., Chen, R., Han, Q., Zhang, C. & Chen, L., 24 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. p. 8645-8652 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 8).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models

    Li, I., Dong, R., Li, L. & Chen, L., 8 Oct 2024, Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024. Noia, T. D., Lops, P., Joachims, T., Verbert, K., Castells, P., Dong, Z. & London, B. (eds.). Association for Computing Machinery (ACM), p. 1262-1264 3 p. (Proceedings of the ACM Conference on Recommender Systems, RecSys).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults

    Jin, Y., Cai, W., Chen , L., Zhang, Y., Doherty, G. & Jiang, T., 11 May 2024, CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Dugas, P. T. & Shklovski, I. (eds.). 1st ed. Association for Computing Machinery (ACM), p. 1-17 17 p. 1012. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    4 Citations (Scopus)

  • Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

    Li, L., Zhang, Y., Liu, D. & Chen, L., May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 10146-10159 14 p. (Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING - Main Conference Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    6 Citations (Scopus)

  • Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems

    Yang, T. & Chen, L., 8 Oct 2024, RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. Di Noia, T., Lops, P., Joachims, T., Verbert, K., Castells, P., Dong, Z. & London, B. (eds.). Association for Computing Machinery (ACM), p. 43-52 10 p. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data

    Zhao, Y., Chen, R., Han, Q., Song, H. & Chen, L., 8 Oct 2024, Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024. Noia, T. D., Lops, P., Joachims, T., Verbert, K., Castells, P., Dong, Z. & London, B. (eds.). Association for Computing Machinery (ACM), p. 247-256 10 p. (Proceedings of the ACM Conference on Recommender Systems, RecSys).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • 2023

    Augmented Negative Sampling for Collaborative Filtering

    Zhao, Y., Chen, R., Lai, R., Han, Q., Song, H. & Chen, L., 14 Sept 2023, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023. Association for Computing Machinery (ACM), p. 256-266 11 p. (Proceedings of the ACM Conference on Recommender Systems, RecSys).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    6 Citations (Scopus)

  • Disentangled Negative Sampling for Collaborative Filtering

    Lai, R., Chen, L., Zhao, Y., Chen, R. & Han, Q., 27 Feb 2023, WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), p. 96-104 9 p. (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    8 Citations (Scopus)

  • Prompt Distillation for Efficient LLM-based Recommendation

    Li, L., Zhang, Y. & Chen, L., 21 Oct 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 1348-1357 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    54 Citations (Scopus)

  • REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths

    Chen, X., Zhang, J., Wang, L., Dai, Q., Dong, Z., Tang, R., Zhang, R., Chen, L., Zhao, W. X. & Wen, J. R., 10 Dec 2023, 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural Information Processing Systems Foundation, 19 p. (Advances in Neural Information Processing Systems; vol. 36)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Tutorial on Large Language Models for Recommendation

    Hua, W., Li, L., Xu, S., Chen, L. & Zhang, Y., 14 Sept 2023, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023. Zhang, J., Chen, L. & Berkovsky, S. (eds.). Association for Computing Machinery (ACM), p. 1281-1283 3 p. (Proceedings of the ACM Conference on Recommender Systems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    18 Citations (Scopus)

  • “Listen to Music, Listen to Yourself”: Design of a Conversational Agent to Support Self-Awareness While Listening to Music

    Cai, W., Jin, Y., Zhao, X. & Chen, L., 19 Apr 2023, CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Schmidt, A., Väänänen, K., Goyal, T., Kristensson, P. O., Peters, A., Mueller, S., Williamson, J. R. & Wilson, M. L. (eds.). Association for Computing Machinery (ACM), p. 1–19 19 p. 119. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    8 Citations (Scopus)
  • 2022

    A Diary Study of Social Explanations for Recommendations in Daily Life

    Zhang, Z., Jin, Y. & Chen, L., 4 Jul 2022, UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 200–208 9 p. (Adjunct Proceedings of ACM Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • A Pilot Study for Understanding Users’ Attitudes Towards a Conversational Agent for News Recommendation

    Chen, L., Zhang, Z., Zhang, X. & Zhao, L., 26 Jul 2022, CUI 2022: Proceedings of the 4th Conference on Conversational User Interfaces. Association for Computing Machinery (ACM), p. 1–6 6 p. 36. (Proceedings of the Conference on Conversational User Interfaces).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    2 Citations (Scopus)

  • Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions

    Chen, W., He, M., Ni, Y., Pan, W., Ming, Z. & Chen, L., 13 Sept 2022, RecSys '22: Proceedings of the 16th ACM Conference on Recommender Systems. Golbeck, J., Harper, F. M., Murdock, V., Ekstrand, M., Shapira, B., Basilico, J., Lundgaard, K. & Oldridge, E. (eds.). Association for Computing Machinery (ACM), p. 268-277 10 p. (Proceedings of ACM Conference on Recommender Systems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    18 Citations (Scopus)

  • Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

    Cai, W., Jin, Y. & Chen, L., Apr 2022, CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 14 p. 489. (Proceedings of the CHI Conference on Human Factors in Computing Systems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    29 Citations (Scopus)

  • Multiple Neighbor Relation Enhanced Graph Collaborative Filtering

    Lai, R., Xiao, S., Chen, R., Chen, L., Han, Q. & Li, L., 17 Nov 2022, 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Zhao, J., Fan, Y., Bagheri, E., Fuhr, N. & Takasu, A. (eds.). Niagara Falls, ON, Canada: IEEE, p. 40-47 8 p. (Proceedings-2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2022).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations

    Ni, Y., Wang, N., Chen, L., Chen, R. & Li, L., 6 Nov 2022, Web Information Systems Engineering – WISE 2022: 23rd International Conference, Biarritz, France, November 1–3, 2022, Proceedings. Chbeir, R., Huang, H., Silvestri, F., Manolopoulos, Y. & Zhang, Y. (eds.). 1st ed. Springer Cham, p. 553-563 11 p. (Lecture Notes in Computer Science; vol. 13724)(WISE: International Conference on Web Information Systems Engineering).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • 2021

    BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing

    Peng, Z., Huang, J., Wang, H., Wang, S., Chu, X., Zhang, X., Chen, L., Huang, X., Fu, X., Guo, Y.-K. & Xu, J., 6 Apr 2021, Database Systems for Advanced Applications: DASFAA 2021 International Workshops - BDQM, GDMA, MLDLDSA, MobiSocial and MUST, Taipei, Taiwan, April 11–14, 2021, Proceedings. Jensen, C. S., Lim, E.-P., Yang, D.-N., Lee, W.-C., Tseng, V. S., Kalogeraki, V., Huang, J.-W. & Shen, C.-Y. (eds.). Springer Cham, p. 381-397 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12680 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    14 Citations (Scopus)

  • Critiquing for Music Exploration in Conversational Recommender Systems

    Cai, W., Jin, Y. & Chen, L., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021. Association for Computing Machinery (ACM), p. 480-490 11 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    18 Citations (Scopus)

  • EXTRA: Explanation Ranking Datasets for Explainable Recommendation

    Li, L., Zhang, Y. & Chen, L., Jul 2021, SIGIR '21- Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 2463-2469 7 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    29 Citations (Scopus)

  • Informing the Design of a News Chatbot

    Zhang, Z., Zhang, X. & Chen, L., 14 Sept 2021, Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, IVA 2021. Association for Computing Machinery (ACM), p. 224-231 8 p. (Proceedings of the ACM International Conference on Intelligent Virtual Agents).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    6 Citations (Scopus)

  • Key Qualities of Conversational Recommender Systems: From Users’ Perspective

    Jin, Y., Chen, L., Cai, W. & Pu, P., 9 Nov 2021, HAI 2021 - Proceedings of the 9th International Conference on Human-Agent Interaction. Ogawa, K., Yonezawa, T., Lucas, G. M., Osawa, H., Johal, W. & Shiomi, M. (eds.). Association for Computing Machinery (ACM), p. 93-102 10 p. (Proceedings of International Conference on Human-Agent Interaction).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    13 Citations (Scopus)

  • Personalized Transformer for Explainable Recommendation

    Li, L., Zhang, Y. & Chen, L., Aug 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics (ACL), p. 4947-4957 11 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    82 Citations (Scopus)

  • User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms

    Wang, N. & Chen, L., 27 Sept 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), p. 133-142 10 p. (Proceeings of ACM Conference on Recommender Systems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    18 Citations (Scopus)
  • 2020

    Generate Neural Template Explanations for Recommendation

    Li, L., Zhang, Y. & Chen, L., 19 Oct 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 755-764 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    97 Citations (Scopus)

  • Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations

    Cai, W. & Chen, L., 7 Jul 2020, UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 33-42 10 p. (UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    50 Citations (Scopus)

  • The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations

    Wang, N., Chen, L. & Yang, Y., Jul 2020, UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 266-274 9 p. (Proceedings of ACM Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    15 Citations (Scopus)

  • Towards Controllable Explanation Generation for Recommender Systems via Neural Template

    Li, L., Chen, L. & Zhang, Y., 20 Apr 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Association for Computing Machinery (ACM), p. 198-202 5 p. (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    11 Citations (Scopus)

  • UMAP 2020 Demo and Late-Breaking Results Chairs' Preface

    Chen, L., Knijnenburg, B. & Koceva, F., 14 Jul 2020, UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Kuflik, T., Torre, I., Burke, R. & Gena, C. (eds.). Genoa, Italy: Association for Computing Machinery (ACM), p. 1 1 p. (UMAP Adjunct - Adjunct Publication of the ACM Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

  • 2019

    Context-aware co-attention neural network for service recommendations

    Li, L., Dong, R. & CHEN, L., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019. IEEE, p. 201-208 8 p. 8750919. (Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    8 Citations (Scopus)

  • How serendipity improves user satisfaction with recommendations? A large-scale user evaluation

    Chen, L., Yang, Y., WANG, N., Yang, K. & Yuan, Q., 13 May 2019, WWW '19: The World Wide Web Conference. Liu, L. & White, R. (eds.). Association for Computing Machinery (ACM), p. 240-250 11 p. (Proceedings of the World Wide Web Conference).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    79 Citations (Scopus)

  • MusicBot: Evaluating critiquing-based music recommenders with conversational interaction

    Jin, Y., Cai, W., Chen, L., Htun, N. N. & Verbert, K., 3 Nov 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 951-960 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    42 Citations (Scopus)

  • Towards a taxonomy of user feedback intents for conversational recommendations

    Cai, W. & Chen, L., 26 Aug 2019, Proceedings of ACM RecSys 2019 Late-breaking Results, co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019). Tkalcic, M. & Pera, S. (eds.). CEUR-WS, p. 51-55 5 p. (CEUR Workshop Proceedings; vol. 2431).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    7 Citations (Scopus)
  • 2018

    RLT: Residual-loop training in collaborative filtering for combining factorization and global-local neighborhood

    Li, L., Pan, W., Chen, L. & Ming, Z., 19 Jun 2018, Web Services – ICWS 2018: 25th International Conference, Held as Part of the Services Conference Federation, SCF 2018, Proceedings. Jin, H., Wang, Q. & Zhang, L.-J. (eds.). 1st ed. Springer Cham, p. 326-336 11 p. (Lecture Notes in Computer Science; vol. 10966)(Programming and Software Engineering)(ICWS: International Conference on Web Services).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Special track on recommender systems: Theory, user interactions and applications

    Zheng, Y., Chen, L. & Zanker, M., 9 Apr 2018, SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing. Association for Computing Machinery (ACM), p. 1319-1320 2 p. (Proceedings of the ACM Symposium on Applied Computing).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

  • 2017

    Bayesian Nominal Matrix Factorization for Mining Daily Activity Patterns

    CHEN, L., CHEUNG, K. W., LIU, J. & NG, J. K. Y., 12 Jan 2017, Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016. IEEE, p. 335-342 8 p. 7817071. (Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Explaining recommendations based on feature sentiments in product reviews

    Chen, L. & Wang, F., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. Association for Computing Machinery (ACM), p. 17-28 12 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    69 Citations (Scopus)

  • Inferring students' sense of community from their communication behavior in online courses

    Wu, W., Chen, L. & Yang, Q., 9 Jul 2017, UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 238-246 9 p. (UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    5 Citations (Scopus)

  • Review-based screening interface for improving users’ decision process in e-commerce

    Yan, D. & Chen, L., 2017, HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings. Tan, C.-H. & Nah, F.F.-H. (eds.). Springer Verlag, p. 130-142 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10294 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Special track on recommender systems: Theory and applications track

    Zheng, Y., Chen, L. & Zanker, M., 3 Apr 2017, SAC '17: Proceedings of the Symposium on Applied Computing. Association for Computing Machinery (ACM), p. 1634 1 p. (Proceedings of the ACM Symposium on Applied Computing).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

  • 2016

    An eye-tracking study: Implication to implicit critiquing feedback elicitation in recommender systems

    Chen, L. & Wang, F., 13 Jul 2016, UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. Association for Computing Machinery (ACM), p. 163-167 5 p. (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    11 Citations (Scopus)

  • A nonlinear state space model for identifying at-risk students in open online courses

    Wang, F. & Chen, L., 29 Jun 2016, Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016. Barnes, T., Chi, M. & Feng, M. (eds.). International Conference on Educational Data Mining, p. 527-532 6 p. (Proceedings of the International Conference on Educational Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    29 Citations (Scopus)

  • Inferring users’ critiquing feedback on recommendations from eye movements

    CHEN, L., Wang, F. & Wu, W., 2016, Case-Based Reasoning Research and Development - 24th International Conference, ICCBR 2016, Proceedings. Belen Diaz-Agudo, M., Roth-Berghofer, T. & Goel, A. (eds.). Springer Verlag, p. 62-76 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9969 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    5 Citations (Scopus)

  • Students' personality and chat room behavior in synchronous online learning

    Wu, W., Chen, L. & Yang, Q., Jul 2016, Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016). Cena, F., Desmarais, M., Dicheva, D. & Zhang, J. (eds.). CEUR-WS, 5 p. (CEUR Workshop Proceedings; vol. 1618).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Where to place your next restaurant? Optimal restaurant placement via leveraging user-generated reviews

    Wang, F., Chen, L. & Pan, W., 24 Oct 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2371-2376 6 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    25 Citations (Scopus)
  • 2015

    An empirical study of user decision making behavior in e-commerce

    Yan, D. & Chen, L., 2015, HCI in Business - 2nd International Conference, HCIB 2015 Held as Part of HCI International 2015, Proceedings. Nah, F.F.-H. & Tan, C.-H. (eds.). Springer Verlag, p. 414-426 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9191).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    2 Citations (Scopus)

  • Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling

    CHEN, L., CHEUNG, K. W. & LIU, J., 8 Dec 2015, Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. Fu, W.-T., Balakrishnan, P., Harabagiu, S., Wang, F. & Srivatsava, J. (eds.). IEEE, p. 427-436 10 p. 7349721. (Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)

  • Implicit acquisition of user personality for augmenting movie recommendations

    Wu, W. & Chen, L., 2015, User Modeling, Adaptation and Personalization - 23rd International Conference, UMAP 2015, Proceedings. Bontcheva, K., Ricci, F., Conlan, O. & Lawless, S. (eds.). Springer Verlag, p. 302-314 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9146).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    31 Citations (Scopus)

  • Recovering human mobility flow models and daily routine patterns in a smart environment

    CHEN, L. & CHEUNG, K. W., 26 Jan 2015, Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. Zhou, Z.-H., Wang, W., Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. IEEE Computer Society, p. 541-548 8 p. 7022643. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2015-January, no. January).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    6 Citations (Scopus)