Recommender System on Text mining to recommend products based on interest of a Person

Volume 20 No 6 (2022)

Dr D Bujji Babu , Sk Anjaneyulu Babu , Mannam Pushpa Latha, Bandaru Haritha , Kurapati Vidya , Parvathi Konodena

DOI: 10.14704/nq.2022.20.6.NQ22912

Abstract

Any modern e-commerce or social networking site would be incomplete without a recommender.Traditional product search systems have two key flaws: redundant recommendations and an unpredictable response to new products (cold start). Since the old recommendation algorithms rely solely on historical purchase behaviour to propose new things, these drawbacks are inevitable

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