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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. Keyword: Collaborative Filtering, Sentimental System.

Service Objective Prediction via Sentimental System on Multi-Source Big Social Network