217 citations · 1.8k across the 154 of their papers we have counts for
6 papers · 1 filter
Reading Position Is the Baseline to Beat: A Time-Ordered Evaluation of Personalised Highlight Prediction
Kazuki Nakayashiki, Keisuke Watanabe
A reader's first highlights on a page are the cheapest personal signal a reading product has. The natural plan is to suggest what similar earlier readers marked, and to judge the r…
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
Minglei Yin, Chuanbo Hu, Bin Liu +4
Learning from implicit feedback has become the standard paradigm for modern recommender systems. However, this setting is fraught with the persistent challenge of false negatives,…
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
Yongji Wu, Defu Lian, Neil Zhenqiang Gong +4
Self-attention has become increasingly popular in a variety of sequence modeling tasks from natural language processing to recommendation, due to its effectiveness. However, self-a…
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention
Yongji Wu, Lu Yin, Defu Lian +4
Sequential recommendation plays an increasingly important role in many e-commerce services such as display advertisement and online shopping. With the rapid development of these se…
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong +1
Recommender system is an important component of many web services to help users locate items that match their interests. Several studies showed that recommender systems are vulnera…
Structural Analysis of User Choices for Mobile App Recommendation
Bin Liu, Yao Wu, Neil Zhenqiang Gong +3
Advances in smartphone technology have promoted the rapid development of mobile apps. However, the availability of a huge number of mobile apps in application stores has imposed th…