Results 21 to 30 of about 459,897 (295)
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
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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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Information, 2017 Point-of-interest (POI) recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but
Lei Guo +3 more
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Adversarial Point-of-Interest Recommendation
The World Wide Web Conference, 2019 Point-of-interest (POI) recommendation is essential to a variety of services for both users and business. An extensive number of models have been developed to improve the recommendation performance by exploiting various characteristics and relations among POIs (e.g., spatio-temporal, social, etc.).
Fan Zhou 0002 +5 more
openaire +1 more source
Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
, 2022 Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect users' fine-grained interest as well as the evolving feature of interest, which may cause unsuitable ...
Shi, Yu-Qing +5 more
core +1 more source
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation
IEEE Access, 2018 Point-of-interest (POI) recommendation has attracted many interests recently because of its significant potential for helping users to explore new places and helping location-based service (LBS) providers to carry out precision marketing.
An Liu +6 more
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Point of Interest Recommendation Algorithm Fusing with Spatiotemporal and Popularity Features [PDF]
Jisuanji gongcheng, 2018 Point of Interest(POI) recommendation helps users to find the desired location,but the recommendation accuracy of existing recommendation algorithms is low.To solve this problem,a POI recommendation algorithm fusing with spatiotemporal and popularity ...
WU Yan,ZHANG Yun,CHEN Shuangshuang
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Natural Noise Filtering Algorithm for Point-of-Interest Recommender Systems [PDF]
Jisuanji kexue, 2023 The inherent natural noise in the original dataset of recommender systems(RSs) causes error and interference to re-commendation algorithms.Existing studies pay more attention to the malicious noise represented by various security attacks.The natural ...
ZHU Jun, HAN Lixin, ZONG Ping, XU Yiqing, XIA Ji’an, TANG Ming
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SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation
Data Science and Engineering, 2023 The expansion of available information in location-based social networks (LBSNs) has led to information overload, making it urgent to discover users’ next point-of-interest (POI).
Junzhuang Wu +5 more
doaj +1 more source