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Emphasize, don't filter!: displaying recommendations in Twitter timelines

Published:06 October 2014Publication History

ABSTRACT

This paper describes and evaluates a method for presenting recommendations that will increase the efficiency of the social activity stream while preserving the users' accurate awareness of the activity within their own social networks. With the help of a content-based recommender system, the application displays the user's home timeline in Twitter as three visually distinct tiers by emphasizing more strongly those Tweets predicted to be more interesting. Pilot study participants reported that they were able to read the interesting Tweets while ignoring the others with relative ease and that the recommender accurately categorized their Tweets into three tiers.

References

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          cover image ACM Conferences
          RecSys '14: Proceedings of the 8th ACM Conference on Recommender systems
          October 2014
          458 pages
          ISBN:9781450326681
          DOI:10.1145/2645710

          Copyright © 2014 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 6 October 2014

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          RecSys '14 Paper Acceptance Rate35of234submissions,15%Overall Acceptance Rate254of1,295submissions,20%

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