S
Shilad Sen
Researcher at Macalester College
Publications - 44
Citations - 4267
Shilad Sen is an academic researcher from Macalester College. The author has contributed to research in topics: Semantic similarity & Recommender system. The author has an hindex of 25, co-authored 43 publications receiving 3939 citations. Previous affiliations of Shilad Sen include University of Minnesota & IBM.
Papers
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Book ChapterDOI
Collaborative filtering recommender systems
TL;DR: This chapter introduces the core concepts of collaborative filtering, its primary uses for users of the adaptive web, the theory and practice of CF algorithms, and design decisions regarding rating systems and acquisition of ratings.
Proceedings ArticleDOI
tagging, communities, vocabulary, evolution
Shilad Sen,Shyong K. Lam,Al Mamunur Rashid,Dan Cosley,Dan Frankowski,Jeremy Osterhouse,F. Maxwell Harper,John Riedl +7 more
TL;DR: A user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency is presented and evaluated in an emergent tagging system by introducing tagging features into the MovieLens recommender system.
Proceedings ArticleDOI
Tagommenders: connecting users to items through tags
Shilad Sen,Jesse Vig,John Riedl +2 more
TL;DR: Algorithms combining tags with recommenders may deliver both the automation inherent in recommenders, and the flexibility and conceptual comprehensibility inherent in tagging systems, and they may lead to flexible recommender systems that leverage the characteristics of items users find most important.
Proceedings ArticleDOI
Tagsplanations: explaining recommendations using tags
Jesse Vig,Shilad Sen,John Riedl +2 more
TL;DR: This paper develops novel algorithms for estimating tag relevance and tag preference, and conducts a user study exploring the roles of tag relevanceand tag preference in promoting effective tagsplanations.
Proceedings ArticleDOI
WP:clubhouse?: an exploration of Wikipedia's gender imbalance
Shyong K. Lam,Anuradha Uduwage,Zhenhua Dong,Shilad Sen,David R. Musicant,Loren Terveen,John Riedl +6 more
TL;DR: A scientific exploration of the gender imbalance in the English Wikipedia's population of editors confirms the presence of a large gender gap among editors and a corresponding gender-oriented disparity in the content of Wikipedia's articles.