HIGHLIGHTS
- who: Bidirectional Trust-Enhanced and collaborators from the College of Information Science and Technology, Dalian Maritime University, Dalian, China have published the Article: Collaborative Filtering for Point-of-Interest Recommendation, in the Journal: Sensors
- what: To address the trustworthiness problem the authors propose a novel collaborative filtering model which investigates the filtering from the views of users and locations. To integrate the filtering models and the user preference model the authors develop a fused framework with two kinds of integrating methods in relation to the different impacts of factors on the POIs that users have . . .
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