39 citations · 112 across the 11 of their papers we have counts for
11 papers · 1 filter
On the User Behavior Leakage from Recommender System Exposure
Xin Xin, Jiyuan Yang, Hanbing Wang +6
Modern recommender systems are trained to predict users potential future interactions from users historical behavior data. During the interaction process, despite the data coming f…
Improving Transformer-based Sequential Recommenders through Preference Editing
Muyang Ma, Pengjie Ren, Zhumin Chen +4
One of the key challenges in Sequential Recommendation (SR) is how to extract and represent user preferences. Traditional SR methods rely on the next item as the supervision signal…
Wizard of Search Engine: Access to Information Through Conversations with Search Engines
Pengjie Ren, Zhongkun Liu, Xiaomeng Song +4
Conversational information seeking (CIS) is playing an increasingly important role in connecting people to information. Due to the lack of suitable resource, previous studies on CI…
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Zihan Wang, Hongye Song, Zhaochun Ren +5
Contract element extraction (CEE) is the novel task of automatically identifying and extracting legally relevant elements such as contract dates, payments, and legislation referenc…
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Weiwei Sun, Shuo Zhang, Krisztian Balog +4
Evaluation is crucial in the development process of task-oriented dialogue systems. As an evaluation method, user simulation allows us to tackle issues such as scalability and cost…
Mixed Information Flow for Cross-domain Sequential Recommendations
Muyang Ma, Pengjie Ren, Zhumin Chen +4
Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. O…