Publications


Papers by Chronological Order

  • Q. Wu, H. Wang, L. Hong and Y. ShiReturning is Believing: Optimizing Long-term User Engagement in Recommender Systems. In the proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore, November, 2017. (Full Paper, 21% Acceptance) [Local Copy] [DOI]
  • K. Aryafar, D. Guillory and L. Hong. An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. In the proceedings of AdKDD & TargetAd 2017 workshop, held in conjunction with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia, August, 2017. [PDF]
  • Y. Ning, Y. Shi, L. Hong, H. Rangwala and N. Ramakrishnan. A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. In the proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August, 2017. (Full Paper, 20.8% Acceptance) [Local Copy] [DOI]
  • T. Chen, L. Hong, Y. Shi and Y. Sun. Joint Text Embedding for Personalized Content-based Recommendation. ArXiv. 2017.
  • T. Chen, Y. Sun, Y. Shi and L. Hong. On Sampling Strategies for Neural Network-based Collaborative Filtering. In the proceedings of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia, August, 2017. (Full Paper, 17% Acceptance) [Local Copy] [Local Supplementary] [DOI] [Code]
  • Q. Zhao, Y. Shi and L. Hong. GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. In the proceedings of the 26th International Conference on World Wide Web (WWW 2017), Perth, Australia, April, 2017. (Full Paper, 17% Acceptance) [Local Copy] [DOI]
  • L. Hong, Y. Shi and S. Rajan. Learning Optimal Card Ranking from Query Reformulation. ArXiv. 2016.
  • L. Hong and A. Boz. An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization. ArXiv. 2016.
  • M. Qian, L. Hong, Y. Shi and S. Rajan. Structured Sparse Regression for Recommender Systems [Short Paper]. In the proceedings of the 24th ACM International  Conference on Information & Knowledge Management (CIKM 2015). Melbourne, Australia.[Local Copy] [DOI]
  • Z. Yang, L. Hong, D. Yin and B. D. Davison. Ranking Authors with Learning-to-Rank Topic Modeling. In International Journal of Innovative Computing, Information and Control (IJICIC), 11(4), August 2015. [PDF]
  • X. Yi, L. Hong, E. Zhong, NN. Liu and S. Rajan. Beyond Clicks: Dwell Time in Personalization. In the proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, Silicon Valley, USA, October, 2014. (Full Paper, 23% Acceptance) [Local Copy] [DOI] Best Paper Award
  • A. AhmedL. Hong and A. SmolaNested Chinese Restaurant Franchise Process:  Applications to User Tracking and Document Modeling. In the proceedings of the 30th International Conference on Machine Learning (ICML 2013), Atlanta, GA, May, 2013. [PDF] [Supplementary]
  • A. AhmedL. Hong and A. SmolaHierarchical Geographical Modeling of User Locations from Social Media Posts. In the proceedings of the 22nd International Conference on World Wide Web (WWW 2013), Rio de Janeiro, Brazil, May, 2013. (Full Paper, 15% Acceptance) [Local Copy]  [DOI]
  • L. HongA. Doumith and B. D. Davison. Co-Factorization Machines: Modeling User Interests and Predicting Individual Decisions in Twitter. In the proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, Feb, 2013. (Full Paper, 19% Acceptance) [Local Copy] [DOI] Best Paper Nominated
  • Z. YangL. Hong and B. D. DavisonAcademic Network Analysis: A Joint Topic Modeling Approach. To appear in the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013). Niagara Falls, Canada, August 25-28, 2013. (Full Paper) [Local Copy]
  • L. Hong.  Mining and Understanding Online Conversational Media. Doctoral Dissertation, Department of Computer Science and Engineering, Lehigh University, May. [Local Copy]
  • L. Hong and S. YangThe First Workshop on User Engagement Optimization. In the proceedings of the 22nd ACM International  Conference on Information & Knowledge Management (CIKM 2013). ACM, New York, NY, USA. [DOI]
  • Yookyung Kim and L. HongTopic Model in Personalization. Yahoo TechPulse Conference (TechPulse 2013), Santa Clara, CA, Dec., 2013. [Internal Publication]
  • L. Hong, R. BekkermanJ. Adler and B. D. Davison. Learning to Rank Social Update Streams. In the proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2012), Portland, Oregon, August, 2012.  [Local Copy] [DOI] [Slides]
  • L. HongA. AhmedS. GurumurthyA. Smola and K. TsioutsiouliklisDiscovering Geographical Topics in the Twitter Stream. In the proceedings of the 21st International Conference on World Wide Web (WWW 2012), Lyon, France, 2012. [Local Copy] [DOI] [Slides]
  • L. HongA. Doumith and B. D. DavisonPersonalized Retweet Prediction in Twitter. In the proceedings of the 4th Workshop on Information in Networks (WIN), New York City, September, 2012. [Local Copy] [Slides]
  • L. Hong. A Tutorial on Probabilistic Latent Semantic Analysis. ArXiv. 2012.
  • D. Yin, L. Hong and B. D. DavisonStructural Link Analysis and Prediction in Microblogs [Short Paper]. In the proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, Scotland, 2011. [Local Copy] [DOI]
  • L. HongD. YinJ. Guo and B. D. DavisonTracking Trends: Incorporating Term Volume into Temporal Topic Models. In the proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA, 2011. [Local Copy] [DOI] [Slides] (Oral Presentation)
  • L. Hong, B. Dom, S. Gurumurthy and K. TsioutsiouliklisA Time-Dependent Topic Model for Multiple Text Streams. In the proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA, 2011. [Local Copy][DOI]
  • D. YinL. HongZ. Xue and B. D. DavisonTemporal Dynamics of User Interests in Tagging Systems. In proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, USA, 2011. [Local Copy]
  • D. YinL. Hong, X. Xiong and B. D. DavisonLink Formation Analysis in MicroBlogs [Poster]. In the proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July, 2011. [Local Copy] [DOI]
  • D. YinL. Hong and B. D. DavisonExploiting Session-like Behaviors in Tag Prediction [Poster]. In the proceedings of the 20th international conference on World Wide Web (WWW 2011), Hyderabad, India. [Local Copy] [DOI]
  • L. HongO. Dan and B. D. DavisonPredicting Popular Messages in Twitter [Poster]. In the proceedings of the 20th international conference on World Wide Web (WWW 2011), Hyderabad, India. [Local Copy] [DOIBest Poster Award
  • L. Hong and B. D. DavisonEmpirical Study of Topic Modeling in Twitter. In the proceedings of Workshop on Social Media Analytics (SOMA 2010), held in conjunction the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC., USA, July 25 – July 28, 2010. [Local Copy] [DOI]
  • D. YinZ. XueL. Hong and B. D. DavisonA Probabilistic Model for Personalized Tag Prediction. In the proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC., USA, July 25 – July 28, 2010. (Full paper, 17% Acceptance) [Local Copy] [DOI]
  • Z. YangL. Hong and B. D. DavisonTopic-driven Multi-type Citation Network Analysis. In the proceedings of The 9th International Conference on Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO 2010), Paris, France, April, 2010. [Local Copy] [DOI]
  • L. Hong and B. D. DavisonWanted: A Unified Model for Search in Social Media [Position Paper]. In the proceedings of The Third Annual Workshop on Search in Social Media (SSM 2010), held in conjunction with Third ACM International Conference on Web Search and Data Mining (WSDM), New York, USA, February 2010. [Local Copy]
  • L. Hong, Z. Yang and B. D. DavisonIncorporating Participant Reputation in Community-driven Question Answering Systems. In proceedings of the Symposium on Social Intelligence and Networking (SIN09), held in conjunction with IEEE SocialCom-09 , Vancouver, Canada, August 2009. [Local Copy] [DOI]
  • L. Hong and B. D. DavisonA Classification-Based Approach to Question Answering in Discussion Boards. In the proceedings of the 32st Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2009), Boston, July 2009. [Local Copy] [DOI]
  • J. WangL. Hong and B. D. DavisonTag Recommendation Using Keywords and Association Rules. In the proceedings of the 2009 ECML PKDD Discovery Challenge Workshop, Bled, Slovenia, September 2009. [Local Copy] [Proceeding Copy]
  • D. YinZ. XueL. HongB. D. Davison, A. Kontostathis and L. Edwards. Detection of Harassment on Web 2.0. In the proceedings of the 1st CAW2 (Content Analysis in Web 2.0) Workshop, Madrid, Spain, April 2009. [Local Copy] [Proceeding Copy]