Results 11 to 20 of about 243,536 (257)

Contextualized Point-of-Interest Recommendation [PDF]

open access: yesProceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Point-of-interest (POI) recommendation has become an increasingly important sub-field of recommendation system research. Previous methods employ various assumptions to exploit the contextual information for improving the recommendation accuracy. The common property among them is that similar users are more likely to visit similar POIs and similar POIs ...
Peng Han 0005   +6 more
openaire   +1 more source

Review of Point of Interest Recommendation Systems in Location-Based Social Networks [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
Point of interest recommendation is recently one of the hotspots in the field of location-based social networks and recommendation systems. Understanding the research status of the point of interest recommendation in location-based social networks can ...
CHEN Jiangmei, ZHANG Wende
doaj   +1 more source

Point-of-interest lists and their potential in recommendation systems [PDF]

open access: yesInformation Technology & Tourism, 2021
Location based social networks, such as Foursquare and Yelp, have inspired the development of novel recommendation systems due to the massive volume and multiple types of data that their users generate on a daily basis. More recently, research studies have been focusing on utilizing structural data from these networks that relate the various entities ...
Giorgos Stamatelatos   +4 more
openaire   +1 more source

Spatio-Temporal Transformer Recommender: Next Location Recommendation with Attention Mechanism by Mining the Spatio-Temporal Relationship between Visited Locations

open access: yesISPRS International Journal of Geo-Information, 2023
Location-based social networks (LBSN) allow users to socialize with friends by sharing their daily life experiences online. In particular, a large amount of check-ins data generated by LBSNs capture the visit locations of users and open a new line of ...
Shuqiang Xu, Qunying Huang, Zhiqiang Zou
doaj   +1 more source

A BiLSTM-attention-based point-of-interest recommendation algorithm

open access: yesJournal of Intelligent Systems, 2023
Aiming at the problem that users’ check-in interest preferences in social networks have complex time dependences, which leads to inaccurate point-of-interest (POI) recommendations, a location-based POI recommendation model using deep learning for social ...
Li Aichuan, Liu Fuzhi
doaj   +1 more source

Human Mobility Pattern Prior Knowledge Based POI Recommendation [PDF]

open access: yesJisuanji kexue, 2023
Point of interest(POI) recommendation is a fundamental task in location-based social networks,which provides users with personalized place recommendations.However,the current point of interest recommendation is mostly based on learning the user's check ...
YI Qiuhua, GAO Haoran, CHEN Xinqi, KONG Xiangjie
doaj   +1 more source

On recommendation problems beyond points of interest [PDF]

open access: yesInformation 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
openaire   +2 more sources

Review Recommendation for Points of Interest's Owners [PDF]

open access: yesProceedings of the 28th ACM Conference on Hypertext and Social Media, 2017
Websites that provide reviews for services and products deal with big volumes of data (many users writing many reviews for many items). Then, recommendation algorithms come to the rescue in matching reviews to the consumers who are reading them. Such online review applications usually recommend the most useful reviews for consumers to read.
Thiago R. P. Prado, Mirella M. Moro
openaire   +1 more source

Point-of-interest recommendation algorithm integrating multiple impact factors

open access: yesJournal 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
doaj   +1 more source

Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation

open access: yesApplied 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
doaj   +1 more source

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