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A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques
Year: 2016
Abstract:
This report presents a description of the context-based recommender system that
was developed by the FUM-IR team from the Ferdowsi University of Mashhad for
the Contextual Suggestion track of TREC 2016. This ...