PoI Recommendation System: A Blended Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8346-9_15
Reference14 articles.
1. Liu K, Zheng W, Xiao Y, Zhai X (2022) PoI recommendation algorithm based on region transfer collaborative filtering. In: Proceedings of the 2022 IEEE 25th international conference on computer supported cooperative work in design (CSCWD), Hangzhou, pp 903–907
2. Habayeb M, Soltanifar B, Caglayan B, Bener A (2016) A novel point of interest (PoI) location based recommender system utilizing user location and web interactions. In: IEEE second international conference on big data computing service and applications (BigDataService), Oxford, pp 121–130
3. Zhang L, Sun Z, Zhang J, Wu Y, Xia Y (2022) Conversation-based adaptive relational translation method for next PoI recommendation with uncertain check-ins. IEEE Trans Neural Netw Learn Syst
4. Zhang Z, Liu Y, Chen H, Liu Q (2016) PoI recommendation with geographical and multi-tag influences. In: Proceedings of the 2016 international conference on behavioral, economic and socio-cultural computing (BESC), Durham, NC, pp 1–6
5. Mo F, Yamana H (2019) Point of interest recommendation by exploiting geographical weighted center and categorical preference. In: Proceedings of the 2019 international conference on data mining workshops (ICDMW), Beijing, pp 73–76
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