Liangjie Hong

According to our database1, Liangjie Hong authored at least 48 papers between 2009 and 2020.

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Bibliography

2020
The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Attentive Sequential Models of Latent Intent for Next Item Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Next-item Recommendation with Sequential Hypergraphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Debiasing Grid-based Product Search in E-commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces.
CoRR, 2019

Tutorial on Online User Engagement: Metrics and Optimization.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Understanding the Role of Style in E-commerce Shopping.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Learning Item-Interaction Embeddings for User Recommendations.
CoRR, 2018

Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning within-session budgets from browsing trajectories.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
Joint Text Embedding for Personalized Content-based Recommendation.
CoRR, 2017

GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

On Sampling Strategies for Neural Network-based Collaborative Filtering.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Learning Optimal Card Ranking from Query Reformulation.
CoRR, 2016

An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization.
CoRR, 2016

2015
Structured Sparse Regression for Recommender Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Beyond clicks: dwell time for personalization.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
Hierarchical geographical modeling of user locations from social media posts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Co-factorization machines: modeling user interests and predicting individual decisions in Twitter.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling.
Proceedings of the 30th International Conference on Machine Learning, 2013

The first workshop on user engagement optimization.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Academic network analysis: a joint topic modeling approach.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
A Tutorial on Probabilistic Latent Semantic Analysis
CoRR, 2012

Discovering geographical topics in the twitter stream.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Learning to rank social update streams.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Exploiting session-like behaviors in tag prediction.
Proceedings of the 20th International Conference on World Wide Web, 2011

Predicting popular messages in Twitter.
Proceedings of the 20th International Conference on World Wide Web, 2011

Link formation analysis in microblogs.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Tracking trends: incorporating term volume into temporal topic models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A time-dependent topic model for multiple text streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural link analysis and prediction in microblogs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Temporal Dynamics of User Interests in Tagging Systems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Topic-driven multi-type citation network analysis.
Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

A probabilistic model for personalized tag prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Empirical study of topic modeling in Twitter.
Proceedings of the 3rd Workshop on Social Network Mining and Analysis, 2010

2009
A classification-based approach to question answering in discussion boards.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

RSDC'09: Tag Recommendation Using Keywords and Association Rules.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Incorporating Participant Reputation in Community-Driven Question Answering Systems.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009


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