Krisztian Balog


Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences
Filip Radlinski | Krisztian Balog | Bill Byrne | Karthik Krishnamoorthi
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue

Conversational recommendation has recently attracted significant attention. As systems must understand users’ preferences, training them has called for conversational corpora, typically derived from task-oriented conversations. We observe that such corpora often do not reflect how people naturally describe preferences. We present a new approach to obtaining user preferences in dialogue: Coached Conversational Preference Elicitation. It allows collection of natural yet structured conversational preferences. Studying the dialogues in one domain, we present a brief quantitative analysis of how people describe movie preferences at scale. Demonstrating the methodology, we release the CCPE-M dataset to the community with over 500 movie preference dialogues expressing over 10,000 preferences.


A Generative Blog Post Retrieval Model that Uses Query Expansion based on External Collections
Wouter Weerkamp | Krisztian Balog | Maarten de Rijke
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP


UVA: Language Modeling Techniques for Web People Search
Krisztian Balog | Leif Azzopardi | Maarten de Rijke
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)


Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels
Krisztian Balog | Gilad Mishne | Maarten de Rijke