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Personalized Book Recommendation System Using Machine Learning Techniques

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dc.contributor.author Ahmed, Shakil
dc.date.accessioned 2022-02-14T04:14:17Z
dc.date.available 2022-02-14T04:14:17Z
dc.date.issued 2021-05-31
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7120
dc.description.abstract Recommendation system plays a tremendous role in this information era. In the world of data, it helps to increase online user experience by filtering information in automated ways. It provides personalized view of information. Recommendation system research has included a wide variety of machine learning techniques including data mining, user modeling, case based reasoning etc. Personalized recommendations are an important part of many online ecommerce platforms where the system is responsible for displaying potential item to user. The principle point regarding this research work is to find interest based book for increasing sales by machine learning techniques. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Book recommendation en_US
dc.subject Recommendation system en_US
dc.subject Machine learning en_US
dc.title Personalized Book Recommendation System Using Machine Learning Techniques en_US
dc.type Article en_US


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