Liangjie Hong

2025

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LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
Xinyuan Wang|Liang Wu|Liangjie Hong|Hao Liu|Yanjie Fu
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 5
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Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems.
Ping Liu|Jianqiang Shen|Qianqi Shen|Chunnan Yao|Kevin Kao|Dan Xu|Rajat Arora|Baofen Zheng|Caleb Johnson|Liangjie Hong|Jingwei Wu|Wenjing Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

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Learning Links for Adaptable and Explainable Retrieval.
Jianqiang Shen|Yuchin Juan|Ping Liu|Wen Pu|Shaobo Zhang|Qianqi Shen|Liangjie Hong|Wenjing Zhang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Understanding and Modeling Job Marketplace with Pretrained Language Models.
Yaochen Zhu|Liang Wu|Binchi Zhang|Song Wang|Qi Guo|Liangjie Hong|Luke Simon|Jundong Li
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Collaborative Large Language Model for Recommender Systems.
Yaochen Zhu|Liang Wu|Qi Guo|Liangjie Hong|Jundong Li
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2020

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Next-item Recommendation with Sequential Hypergraphs.
Jianling Wang|Kaize Ding|Liangjie Hong|Huan Liu|James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
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Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.
Jianling Wang|Raphael Louca|Diane Hu|Caitlin Cellier|James Caverlee|Liangjie Hong
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
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Attentive Sequential Models of Latent Intent for Next Item Recommendation.
Md. Mehrab Tanjim|Congzhe Su|Ethan Benjamin|Diane Hu|Liangjie Hong|Julian J. McAuley
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020
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The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings.
Xiaoting Zhao|Raphael Louca|Diane Hu|Liangjie Hong
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Yixing Fan|Qingyao Ai|Zhaochun Ren|Liangjie Hong|Dawei Yin|Jiafeng Guo
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
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A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring.
Nianqiao Ju|Diane Hu|Adam Henderson|Liangjie Hong
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
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Tutorial on Online User Engagement: Metrics and Optimization.
Liangjie Hong|Mounia Lalmas
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.

2018

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Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
Liang Wu|Diane Hu|Liangjie Hong|Huan Liu
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
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Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce.
Mounia Lalmas|Liangjie Hong
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

2017

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Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.
Qingyun Wu|Hongning Wang|Liangjie Hong|Yue Shi
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
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GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees.
Qian Zhao|Yue Shi|Liangjie Hong
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2015

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Structured Sparse Regression for Recommender Systems.
Mingjie Qian|Liangjie Hong|Yue Shi|Suju Rajan
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2013

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The first workshop on user engagement optimization.
Liangjie Hong|Shuang-Hong Yang
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013
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Co-factorization machines: modeling user interests and predicting individual decisions in Twitter.
Liangjie Hong|Aziz S. Doumith|Brian D. Davison
Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013
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Hierarchical geographical modeling of user locations from social media posts.
Amr Ahmed|Liangjie Hong|Alexander J. Smola
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013

2012

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Learning to rank social update streams.
Liangjie Hong|Ron Bekkerman|Joseph Adler|Brian D. Davison
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012
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Discovering geographical topics in the twitter stream.
Liangjie Hong|Amr Ahmed|Siva Gurumurthy|Alexander J. Smola|Kostas Tsioutsiouliklis
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012

2011

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Structural link analysis and prediction in microblogs.
Dawei Yin|Liangjie Hong|Brian D. Davison
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011
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Link formation analysis in microblogs.
Dawei Yin|Liangjie Hong|Xiong Xiong|Brian D. Davison
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011
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Predicting popular messages in Twitter.
Liangjie Hong|Ovidiu Dan|Brian D. Davison
Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011 (Companion Volume)
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Exploiting session-like behaviors in tag prediction.
Dawei Yin|Liangjie Hong|Brian D. Davison
Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011 (Companion Volume)

2010

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Topic-driven multi-type citation network analysis.
Zaihan Yang|Liangjie Hong|Brian D. Davison
Recherche d'Information Assistée par Ordinateur, RIAO 2010: Adaptivity, Personalization and Fusion of Heterogeneous Information, 9th International Conference, Bibliotheque Nationale de France, Paris, France, April 28-30, 2010, Proceedings

2009

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A classification-based approach to question answering in discussion boards.
Liangjie Hong|Brian D. Davison
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009