Dynamic personalized recommendation of comment-eliciting stories

RecSys, pp. 209-212, 2012.

Cited by: 10|Bibtex|Views103|DOI:https://doi.org/10.1145/2365952.2365996
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Media Websites often solicit users' comments on content items such as videos, news stories, blog posts, etc. Commenting activity increases user engagement with the sites, by both comment writers and readers, and so sites are looking for ways to increase the volume of comments. This work develops a recommender system aiming to present user...More

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