QUERY INFORMATION RETRIEVAL PROCESS IN SOCIAL MEDIA.
- Department of Computer Science and Engineering Manav Rachna International University, Faridabad-121004, India.
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Now days, it is difficult for the users of social network to keep a record of the social friendships and different activities amongst multiple networks as the huge amount of social data is available. A user-centric system is desired that has the ability to aggregate all the social data from different SNSs and allowing users and the system to resolve the user queries with high precision. This paper suggests an open vision of challenges faced to design an intelligent social network database system. The system suggests the set query language related to the social networks as naive building blocks, and the importance of an intelligent machine learning process as the retrieval processor to supervise and improvise upon the user?s implementations.
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[Simran Goyal and Charu Pujara. (2017); QUERY INFORMATION RETRIEVAL PROCESS IN SOCIAL MEDIA. Int. J. of Adv. Res. 5 (Jun). 1691-1696] (ISSN 2320-5407). www.journalijar.com
Department of Computer Science and Engineering Manav Rachna International University, Faridabad-121004, India
