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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
doaj +1 more source
Successive Point-of-Interest Recommendation With Local Differential Privacy
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
doaj +1 more source
Time and Location-aware Activity Personalized Recommendation Method [PDF]
Jisuanji gongcheng, 2018 A new recommendation method is proposed based on time and space perception.Considering the user's social relationship,the random walk algorithm is used to get the recommendation activity by constructing the user,location,time,activity,and the information
ZHAO Haiyan,LUO Jin,CHEN Qingkui
doaj +1 more source
BERT4Loc: BERT for Location—POI Recommender System
Future Internet, 2023 Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users’ historical behavior and preferences.
Syed Raza Bashir +2 more
openaire +3 more sources
DeepCity: A Feature Learning Framework for Mining Location Check-ins [PDF]
, 2016 Online social networks being extended to geographical space has resulted in large amount of user check-in data. Understanding check-ins can help to build appealing applications, such as location recommendation.
Pang, Jun, Zhang, Yang
core +2 more sources
Trust-aware location recommendation for user groups
ACM SIGAPP Applied Computing Review, 2022 Recommender systems have become indispensable part of online environments. Product recommendations in ecommerce applications, location recommendations in location related applications, and user and post recommendations in online social networks are just a few examples in the world of online recommendations.
Teoman, Huseyin Alper, Karagoz, Pinar
openaire +2 more sources
An efficient approach to generating location-sensitive recommendations in ad-hoc social network environments [PDF]
, 2016 Social recommendation has been popular and successful in various urban sustainable applications such as online sharing, products recommendation and shopping services.
Hao, Fei +5 more
core +1 more source
OurPlaces: Cross-Cultural Crowdsourcing Platform for Location Recommendation Services
ISPRS International Journal of Geo-Information, 2020 This paper presents a cross-cultural crowdsourcing platform, called OurPlaces, where people from different cultures can share their spatial experiences. We built a three-layered architecture composed of: (i) places (locations where people have visited); (
Luong Vuong Nguyen +2 more
doaj +1 more source
Virtual Location-Based Services: Merging the Physical and Virtual World [PDF]
, 2013 Location-based services gained much popularity through providing users with helpful information with respect to their current location. The search and recommendation of nearby locations or places, and the navigation to a specific location are some of the
Hauswirth, Manfred +2 more
core +2 more sources
Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2019 Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs).
Elahe Khazaei, Abbas Alimohammadi
doaj +1 more source