Results 1 to 10 of about 852,574 (290)
Linked Open Data in Location-Based Recommendation System on Tourism Domain: A Survey
IEEE Access, 2020 Linked open data is a relatively new topic area with great potential in a wide range of fields. In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked ...
Phatpicha Yochum +3 more
doaj +3 more sources
Enabling Feature Location for API Method Recommendation and Usage Location [PDF]
IEEE Access, 2019 Given a new feature request during software evolution, developers are used to employing existing third-party libraries and APIs for implementation. However, it is usually non-trivial to find suitable APIs and to decide where to use these APIs in the ...
Xiaobing Sun +4 more
doaj +2 more sources
Location Regularization-Based POI Recommendation in Location-Based Social Networks [PDF]
Information, 2018 POI (point-of-interest) recommendation as one of the efficient information filtering techniques has been widely utilized in helping people find places they are likely to visit, and many related methods have been proposed.
Lei Guo, Haoran Jiang, Xinhua Wang
doaj +2 more sources
Location recommendation privacy protection method based on location sensitivity division [PDF]
EURASIP Journal on Wireless Communications and Networking, 2019 Location-based recommendation services can provide users with convenient services, but this requires monitoring and collecting a large amount of location information.
Chunyong Yin +3 more
doaj +2 more sources
Time Aware Point-of-interest Recommendation [PDF]
Jisuanji kexue, 2021 In location-based social networks (LBSN),users share their location and content related to location information.Point-of-interest (POI) recommendation is an important application in LBSN which recommends locations that might be of interest to users ...
WANG Ying-li, JIANG Cong-cong, FENG Xiao-nian, QIAN Tie-yun
doaj +1 more source
Personalized Location Recommendation Algorithm Mixing Multi-factors [PDF]
Jisuanji gongcheng, 2018 The main factors that influence the recommendation results in location recommendation system include location,personal interest,social relationship and time cycle.In order to effectively integrate 4 factors to personalized location recommendation,the ...
DAI Shifang,LI Yan,HAI Lin
doaj +1 more source
SgWalk: Location Recommendation by User Subgraph-Based Graph Embedding
IEEE Access, 2021 Popularity of Location-based Social Networks (LBSNs) provides an opportunity to collect massive multi-modal datasets that contain geographical information, as well as time and social interactions.
Deniz Canturk, Pinar Karagoz
doaj +1 more source
Location Recommendation Algorithm Based on Location2vec [PDF]
Jisuanji gongcheng, 2019 In the location recommendation application,the traditional collaborative filtering recommendation algorithms are not effective due to the sparseness of the check-in data.In order to improve the recommendation effect and overcome the shortcomings of the ...
DING Yong, WANG Xiang, JIANG Cuiqing
doaj +1 more source
Multi-Context-Aware Location Recommendation Using Tensor Decomposition
IEEE Access, 2020 With the rapid growth of information generated by online social network platforms and the increased usage of Location-Based Social Networks, location recommendation research has attracted more attention both in academic and industry. However, the problem
Jing Lu, Martin A. Indeche
doaj +1 more source
Review of Point of Interest Recommendation Systems in Location-Based Social Networks [PDF]
Jisuanji 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