Krisztian Balog
Krisztian Balog is a staff research scientist at Google. His research interests include conversational information access and evaluation. More of his publications are listed on Google Scholar.
Authored Publications
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Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
Barbara Ikica
Hamidreza Alvari
Mehdi Hafezi Manshadi
(2024)
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems
Andrey Petrov
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), ACM
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
Arun Chaganty
Megan Leszczynski
Shu Zhang
Ravi Ganti
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner
Proceedings of ACM Conference on Recommender Systems (RecSys ’23) (2023) (to appear)
Conversational Music Retrieval with Synthetic Data
Megan Eileen Leszczynski
Ravi Ganti
Shu Zhang
Arun Tejasvi Chaganty
Second Workshop on Interactive Learning for Natural Language Processing at NeurIPS 2022
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22) (2022)
On Interpretation and Measurement of Soft Attributes for Recommendation
Alexandros Karatzoglou
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21) (2021)
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20) (2020)
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences
Proceedings of the Annual SIGdial Meeting on Discourse and Dialogue (2019)
Transparent, Scrutable and Explainable User Models for Personalized Recommendation
Shushan Arakelyan
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '19) (2019)
