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User-Query Processing through Dynamic Tweets Status Recommender System
2021
Psychology (Savannah, Ga.)
With increasing user information volume in online social networks, recommender systems have been an effective method to limit such information overload. The requirements of recommender systems specified, with widespread adoption in many internet social Twitter, Facebook, and Google online applications. In recent years, the micro-blogging in Twitter has brought greater importance to online users as a channel spreading knowledge and information. Through Twitter, users can find the relevant
doi:10.17762/pae.v58i1.2180
fatcat:pduqspkjmbcx5o6ccbz26emcoe