8 citations · 16 across the 5 of their papers we have counts for
5 papers
Rethinking Item Importance in Session-based Recommendation
Zhiqiang Pan, Fei Cai, Yanxiang Ling +1
Session-based recommendation aims to predict users' based on anonymous sessions. Previous work mainly focuses on the transition relationship between items during an ongoing session…
Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification
Jianming Zheng, Fei Cai, Honghui Chen +1
Text representation can aid machines in understanding text. Previous work on text representation often focuses on the so-called forward implication, i.e., preceding words are taken…
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Wanyu Chen, Pengjie Ren, Fei Cai +1
Sequential Recommendation (SRs) that capture users' dynamic intents by modeling user sequential behaviors can recommend closely accurate products to users. Previous work on SRs is…
Joint Neural Collaborative Filtering for Recommender Systems
Wanyu Chen, Fei Cai, Honghui Chen +1
We propose a J-NCF method for recommender systems. The J-NCF model applies a joint neural network that couples deep feature learning and deep interaction modeling with a rating mat…
Attention-based Hierarchical Neural Query Suggestion
Wanyu Chen, Fei Cai, Honghui Chen +1
Query suggestions help users of a search engine to refine their queries. Previous work on query suggestion has mainly focused on incorporating directly observable features such as…