217 citations · 2.1k across the 107 of their papers we have counts for
9 papers · 1 filter
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
Ziyang Liu, Chaokun Wang, Hao Feng +2
Online relevance matching is an essential task of e-commerce product search to boost the utility of search engines and ensure a smooth user experience. Previous work adopts either…
Sequential Search with Off-Policy Reinforcement Learning
Dadong Miao, Yanan Wang, Guoyu Tang +6
Recent years have seen a significant amount of interests in Sequential Recommendation (SR), which aims to understand and model the sequential user behaviors and the interactions be…
Intelligent Online Selling Point Extraction for E-Commerce Recommendation
Xiaojie Guo, Shugen Wang, Hanqing Zhao +8
In the past decade, automatic product description generation for e-commerce have witnessed significant advancement. As the services provided by e-commerce platforms become diverse,…
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
Qi Shen, Lingfei Wu, Yitong Pang +4
Predicting the next interaction of a short-term sequence is a challenging task in session-based recommendation (SBR).Multi-behavior session recommendation considers session sequenc…
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Yiming Zhang, Lingfei Wu, Qi Shen +5
Social recommendation based on social network has achieved great success in improving the performance of recommendation system. Since social network (user-user relations) and user-…
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Yitong Pang, Lingfei Wu, Qi Shen +6
Predicting the next interaction of a short-term interaction session is a challenging task in session-based recommendation. Almost all existing works rely on item transition pattern…
How Web 1.0 Fails: The Mismatch Between Hyperlinks and Clickstreams
Lingfei Wu, Robert Ackland
The core of the Web is a hyperlink navigation system collaboratively set up by webmasters to help users find desired websites. But does this system really work as expected? We show…
The Decentralized Structure of Collective Attention on the Web
Lingfei Wu, Jiang Zhang
Background: The collective browsing behavior of users gives rise to a flow network transporting attention between websites. By analyzing the structure of this network we uncovered…
Heterogeneity and Allometric Growth of Human Collaborative Tagging Behavior
Lingfei Wu, Chengjun Wang
Allometric growth is found in many tagging systems online. That is, the number of new tags (T) is a power law function of the active population (P), or T P^gamma (gamma!=1). Accord…