Tweets: Review of Micro-Blog Based Recommendation Systems (RS) for News Recommendation (NR)
Nithya. K1, Krishnamoorthi. M2, Kalamani. M3

1Nithya. K, Department of CSE, Nandha College of Technology, Perundurai, Erode (Tamil Nadu), India.
2Krishnamoorthi. M, Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
3Kalamani. M, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
Manuscript received on 16 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript Published on 09 January 2019 | PP: 444-448 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2058017519/19©BEIESP
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Abstract: Micro-blogs are an approach for social media users to articulate their views and interests by posting the short messages (Tweets) as news. In general, an enormous quantity of news tweets generated everyday for the person who does not have enough time to read all the online news based on their interest. The objective of the News Recommendation Systems (NRS) is to classify and filter out unrelated online news and to suggest only the relevant news to the users based on their preferences. The NRS is working based on her/his social media activities, news reading history, location and other online activity histories. This research article will present a wide-range of analysis about the social media NRS from various research articles in the literature by considering the approaches used for recommendation, various performance measures and the data sets used.
Keywords: News Recommendation System, Social Media Activities.
Scope of the Article: Microwave Antenna