Title: Qos Recommendation

Author(s):  1Dinkar V. Jadhav, 2Mr. B. S. Satpute

 DOI : https://dx.doi.org/10.18535/ijecs/v6i7.26


1Student, Dept. of Computer Science,

Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-18.

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2Assistant Professor. Dept. of Computer Science,

Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-18.

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Abstract

Tremendous popularity of the ecommerce applications increased now days. Numerous amounts of reviews and ratings are available on the sites. Such as comments, reviews description of the local service. This type of information is valuable for the new user who judges the product online to make their decision. Sometimes this information may be having problem to recommend user about product recommendation because of the lack of reviews and rating of particular product. If any product has two rating one 5 and other is 2 they only have two ratings. So while recommending this product just finds average of ratings and show to user. This not provides quality of service of the recommendation. This is not enough to extract public opinions. To provide quality of service to the recommendation have to improve overall evaluation of rating. We propose framework to find the trust of the user service rating and feature of review, spatio-temporal features. Extract the overall rating confidence and trust of rating and review by combining the overall rating to providing good quality of service

 


License: This work is licensed under a Creative Commons Attribution 4.0 International License.

 

Website: http://www.ijecs.in

e-ISSN:  2319-724

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