95 citations · 343 across the 10 of their papers we have counts for
16 papers
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
Shuo Zhang, Mu-Chun Wang, Krisztian Balog
User simulation has been a cost-effective technique for evaluating conversational recommender systems. However, building a human-like simulator is still an open challenge. In this…
StruBERT: Structure-aware BERT for Table Search and Matching
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang +2
A large amount of information is stored in data tables. Users can search for data tables using a keyword-based query. A table is composed primarily of data values that are organize…
IAI MovieBot: A Conversational Movie Recommender System
Javeria Habib, Shuo Zhang, Krisztian Balog
Conversational recommender systems support users in accomplishing recommendation-related goals via multi-turn conversations. To better model dynamically changing user preferences a…
Generating Categories for Sets of Entities
Shuo Zhang, Krisztian Balog, Jamie Callan
Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities. They are a unique and valuable re…
Evaluating Conversational Recommender Systems via User Simulation
Shuo Zhang, Krisztian Balog
Conversational information access is an emerging research area. Currently, human evaluation is used for end-to-end system evaluation, which is both very time and resource intensive…
Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang, Zhuyun Dai, Krisztian Balog +1
Tabular data provide answers to a significant portion of search queries. However, reciting an entire result table is impractical in conversational search systems. We propose to gen…