İki Parçalı Ağda Bağlantı Tahminine Dayalı İlgi Çekici Nokta Tavsiyesi

Elifgül Çakmak; Buket Kaya; Mehmet Kaya

doi:10.53070/bbd.990742

Araştırma Makalesi

Point-of-Interest Recommendation Based on Link Prediction in Bipartite Network

Yıl 2021, Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special, 154 - 161, 20.10.2021

Elifgül Çakmak Buket Kaya Mehmet Kaya

https://doi.org/10.53070/bbd.990742

Öz

The use of location-based social networks is increasing day by day. In these networks, users check-in Point of Interest (POI) that they like, and in a sense, they advise future users. The aim of this paper is to detect whether users from the same hometown check-in for similar POIs using the link prediction method, thus recommending new POIs. The method first models the user-POI bipartite network, and then new recommendations are generated by the link prediction method. Experiments conducted on real data in Foursquare have shown that the proposed method achieves high accuracy values.

Anahtar Kelimeler

Machine Learning, Recommendation Systems, Location Based Social Networks, Point of Interest

Kaynakça

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