42 citations
- Amazon (United States)US3 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- École PolytechniqueFR1 paper
- Emory UniversityUS1 paper
- Johns Hopkins UniversityUS1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Microsoft Research (United Kingdom)GB1 paper
- Microsoft (United States)US1 paper
- National Taiwan UniversityTW1 paper
- Naver (South Korea)KR1 paper
- Search InstituteUS1 paper
Showing cs.IRShow all
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cs.IR2023★ 1 cited
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning
Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan +1
Nowadays, modern recommender systems usually leverage textual and visual contents as auxiliary information to predict user preference. For textual information, review texts are one…
cs.IR2022★ 2 cited
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Adam Block, Rahul Kidambi, Daniel N. Hill +2
Conventional methods for query autocompletion aim to predict which completed query a user will select from a list. A shortcoming of this approach is that users often do not know wh…