Manuscript Number : ICASCT2523
A Novel Approach to Evaluate the Service Quality by Exploring Social User Contextual Information
Authors(3) :-E.Jai Vinitha, J. Maruthu Pandi, R. Divya Bharathi With the increase of social media and e-commerce, enormous people prefer to share their experience and rate on review websites. Existing research are mainly focused on personalized recommendation and rating prediction but evaluating the quality of service for recommender system is more important. The proposed approach focuses on service quality evaluation. There are some challenges that do not have enough review information for extracting opinion. In this paper, a Service Quality Evaluation model is proposed to evaluate the service quality. The proposed model can be done in three steps. First step is to calculate the entropy which is utilized in users’ confidence value. Second, to explore the contextual features of user rating in which the spatial-temporal features and sentimental features are reviewed. The final step is to fuse the above two steps into a unified model for calculating the overall confidence value to perform service quality evaluation. The experiments are implemented by using Yelp and Douban dataset.
E.Jai Vinitha Spatio-temporal features, sentimental features, Data Mining, Contextual Information of User Publication Details
Published in : Volume 3 | Issue 5 | May-June 2017 Article Preview
Department of IT, M.Tech, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India
J. Maruthu Pandi
Department of IT, Assistant Professor, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India
R. Divya Bharathi
Department of IT, M.Tech, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India
Date of Publication : 2017-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 132-138
Manuscript Number : ICASCT2523
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/ICASCT2523
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