Scheduling For Mobile User News Feeds With Diversity

Computer Science & Engineering

By the tremendous growth of wireless devices many telecommunication industries are providing different services to mobile users. Social media are played an important role to spread this services up to mobile users. This paper belongs to one of those services called news feed. In this paper, we are focusing on location aware news feed system facilitate to mobile users to share his/her geo-tagged location by their spatial and non-spatial references. For that we implemented Heuristics algorithm. Drawbacks of previous system was inspired us to bring this new feature and get result with individual diversity term. We are focusing to get more results in very short time and system minimized overhead for that we use efficient techniques. It consist of prediction of location, relevance measure score, news feed scheduler and sorting. Location prediction is used for predicting user’s location based on existing path algorithm. The relevance score is practical by combine vector space model with spatial and non-spatial factors to settle on relevance of message to a user. While news feed scheduler works to generate the message for mobile user’s current and future location and finally, sorting will sort all the messages with best quality of message for user.

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