Ghazaleh Haratinezhad Torbati
ABSTRACT
This work presents a playground platform to demonstrate and interactively explore a suite of methods for utilizing user review texts to generate book recommendations. The focus is on search-based settings where the user provides situative context by focusing on a genre, a given item, her full user profile, or a newly formulated query. The platform allows exploration over two large datasets with various methods for creating concise user profiles.
Supplemental Material
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- Jan vS afavr 'ik, Vojtve ch Vanvc ura, and Pavel Kord'ik. 2022. RepSys: Framework for Interactive Evaluation of Recommender Systems. In Recsys '22.Google Scholar
- Ghazaleh Haratinezhad Torbati, Anna Tigunova, and Gerhard Weikum. 2023 a. Unveiling Challenging Cases in Text-based Recommender Systems. In PERSPECTIVES Workshop at Recsys '23.Google Scholar
- Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates, and Gerhard Weikum. 2023 b. Recommendations by Concise User Profiles from Review Text. arXiv preprint arXiv:2311.01314 (2023).Google Scholar
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Index Terms
- SIRUP: Search-based Book Recommendation Playground
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