activity
20182020
most citedJoint Neural Collaborative Filtering for Recommender Systems

8 citations · 9 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.IR20201 cited

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…

cs.IR2019

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…

cs.IR2019

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…

cs.IR20198 cited

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…

cs.IR2018

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…