Results 11 to 20 of about 255,061 (262)

Exploiting Spatial and Temporal for Point of Interest Recommendation

open access: yesComplexity, 2018
An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen   +5 more
doaj   +3 more sources

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

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   +3 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   +2 more sources

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   +2 more sources

Techniques for Improving Performance of Recommender Systems for Tourist Point of Interest Recommendation [PDF]

open access: yesمطالعات 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

Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs

open access: yesInformation, 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
doaj   +1 more source

Influence-Aware Successive Point-of-Interest Recommendation

open access: yesWorld 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
openaire   +2 more sources

Survey on Next Point-of-Interest Recommendation Algorithms [PDF]

open access: yesJisuanji kexue yu tansuo
With the rapid development of mobile Internet and location-based services, location-based social networks have become an integral part of users?? daily lives.
LIU Guangteng, WANG Feng, WU Zhongbo
doaj   +1 more source

Adversarial Point-of-Interest Recommendation

open access: yesThe 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   +2 more sources

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