Employability of the User Opinion in Developing a Product Recommender System
Armaan Jain
Ryan International School, Rohini-25, New Delhi
52-57
Vol: 10, Issue: 3, 2020
Receiving Date:
2020-07-09
Acceptance Date:
2020-08-25
Publication Date:
2020-09-15
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http://doi.org/10.37648/ijrst.v10i03.007
Abstract
The development of the Internet has helped E-Commerce (web-based shopping). These days, web-based shopping is exceptionally famous with the increasing number of people associated with the Internet. Step by step, the interest in web-based shopping is additionally developing. The growing number of items over E-Commerce has made issues for the clients to buy the specific item simultaneously because of huge data. A recommender framework prescribes appropriate things to the clients from among the tremendous measures of information satisfying their taste, interest, and conduct. The paper presents an outline of the Recommender framework, its procedures with their deficiency and further, we proposed our system for item suggestion utilizing conclusions.
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Keywords:
e-commerce; recommender system; Information search strategies
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