Service Objective Prediction via Sentimental System on Multi-Source Big Social Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
We have a vast amount of descriptions, comments, and ratings for local services. The information is valuable for new users to judge whether the services meet their requirements before partaking. In this paper, we propose service objective prediction via sentimental system on multi source big social network. In order to predict service objective, we focus on specific interest of the user and user’s recent activities. The recent activities can be mined through their status such as sharing of files, messages. In this proposed system, user interest related advertisements only provided to the respective users. The services can be predicted and mined through Collaborative Filtering (CF) technology.
Authors and Affiliations
Mr. B. Aravind, Mr. R. Muralidharan, Mr. B. Jehan, Ms. D. Mahalakshmi
Keywords
Related Articles
- EP ID EP23639
- DOI http://doi.org/10.22214/ijraset.2017.3179
- Views 247
- Downloads 5
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