Results 11 to 20 of about 1,139,810 (293)
Personalized Context-Aware Point of Interest Recommendation [PDF]
ACM Transactions on Information Systems, 2018 Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic model to find the mapping between user-annotated tags and locations’ taste keywords.
Mohammad Aliannejadi, Fabio Crestani
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Tag embedding based personalized point of interest recommendation system [PDF]
Information Processing & Management, 2021 To appear in Information Processing & Management, Volume 58, Issue 6, November ...
Suraj Agrawal +2 more
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RELINE: point-of-interest recommendations using multiple network embeddings [PDF]
Knowledge and Information Systems, 2021 The rapid growth of users' involvement in Location-Based Social Networks (LBSNs) has led to the expeditious growth of the data on a global scale. The need of accessing and retrieving relevant information close to users' preferences is an open problem which continuously raises new challenges for recommendation systems.
Giannis Christoforidis +3 more
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Point-of-interest recommendation algorithm integrating multiple impact factors
Journal of Hebei University of Science and Technology, 2020 In order to solve the problem of data sparseness in the task of point-of-interest recommendation and make full use of the diverse information in the location-based social network to further improve the quality of personalized recommendation, a point-of ...
Huicong WU +3 more
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Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation
Applied Sciences, 2023 As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users.
Jiawei Liu +4 more
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Techniques for Improving Performance of Recommender Systems for Tourist Point of Interest Recommendation [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2023 Among the various applications of recommender systems, their use in estimating and suggesting points of interest (POIs) for tourists has expanded significantly in recent years.
Samaneh Sheibani +2 more
doaj +1 more source
On recommendation problems beyond points of interest [PDF]
Information Systems, 2015 Recommendation systems aim to recommend items or packages of items that are likely to be of interest to users. Previous work on recommendation systems has mostly focused on recommending points of interest (POI), to identify and suggest top-k items or packages that meet selection criteria and satisfy compatibility constraints on items in a package ...
Ting Deng, Wenfei Fan, Floris Geerts
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Influence-Aware Successive Point-of-Interest Recommendation
World Wide Web, 2022 AbstractIn recent years, with the rapid development of mobile applications, user check-in histories have been increasing. Successive point-of-interest (POI) recommendation has gained growing attention. Existing successive point-of-interest recommendation methods learn long- and short-term user preferences through historical check-in sequences to ...
Xinghe Cheng +4 more
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Point of Interest Recommendation Acceleration Using Clustering
2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), 2021 Point of Interest (POI) recommendation systems exploit information in location–based social networks to predict locations that users may be interested in. POI recommendations have been widely adopted in many applications, which are helpful for daily life.
Huida Jiao, Fan Mo, Hayato Yamana
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Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation [PDF]
, 2016 Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations.
Alkhawaldeh, Rami S. +5 more
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