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ANALYSIS OF RATING PREDICTION SYSTEM FROM TEXTUAL REVIEWS
2017
International Journal of Advanced Research in Computer Science
In this work, we propose a slant based rating forecast technique to enhance expectation exactness in recommender frameworks. Right off the bat, it proposes a social client nostalgic estimation approach and computes every client's supposition on things. Furthermore, it considers a client's own wistful traits, as well as think about relational nostalgic impact. At that point, consider thing notoriety, which can be induced by the wistful conveyances of a client set that mirror clients' thorough
doi:10.26483/ijarcs.v8i9.4924
fatcat:um5oahbjyfdlvo37crz4qyjnya