User Profile Based Research Paper Recommendation

Published 25 Apr 2017 in cs.IR | (1704.07757v1)

Abstract: We design a recommender system for research papers based on topic-modeling. The users feedback to the results is used to make the results more relevant the next time they fire a query. The user's needs are understood by observing the change in the themes that the user shows a preference for over time.

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