18 citations · 26 across the 5 of their papers we have counts for
5 papers
Relevance Feedback with Brain Signals
Ziyi Ye, Xiaohui Xie, Qingyao Ai +4
The Relevance Feedback (RF) process relies on accurate and real-time relevance estimation of feedback documents to improve retrieval performance. Since collecting explicit relevanc…
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
Ziyi Ye, Xiaohui Xie, Yiqun Liu +4
With the growth of information on the Web, most users heavily rely on information access systems (e.g., search engines, recommender systems, etc.) in their daily lives. During this…
Towards Better Understanding of User Satisfaction in Open-Domain Conversational Search
Zhumin Chu, Qingyao Ai, Zhihong Wang +5
With the increasing popularity of conversational search, how to evaluate the performance of conversational search systems has become an important question in the IR community. Exis…
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search
Ziyi Ye, Xiaohui Xie, Yiqun Liu +6
Web search heavily relies on click-through behavior as an essential feedback signal for performance improvement and evaluation. Traditionally, click is usually treated as a positiv…
Towards a Better Understanding Human Reading Comprehension with Brain Signals
Ziyi Ye, Xiaohui Xie, Yiqun Liu +4
Reading comprehension is a complex cognitive process involving many human brain activities. Plenty of works have studied the patterns and attention allocations of reading comprehen…