Results 21 to 30 of about 30,535 (208)
Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information [PDF]
, 2018 Point-of-Interest (POI) recommendation is a new type of recommendation task that comes along with the prevalence of location-based social networks and services in recent years.
Adomavicius Gediminas +13 more
core +1 more source
Personalized sightseeing tours support using mobile devices [PDF]
, 2010 In this paper, we present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile. PSiS Mobile is our proposal to a mobile recommendation and planning support system, which is designed to provide effective support during the tourist ...
Anacleto, Ricardo +2 more
core +4 more sources
Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding [PDF]
Jisuanji kexue yu tansuoThe increasingly large scale of location-based social networks (LBSN) promotes the rapid development of point-of-interest (POI) recommendation business.
LI Manwen, ZHANG Yueqin, ZHANG Chenwei, ZHANG Zehua
doaj +1 more source
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation [PDF]
, 2016 Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations.
Alkhawaldeh, Rami S. +5 more
core +1 more source
Tour recommendation for groups [PDF]
, 2016 Consider a group of people who are visiting a major touristic city, such as NY, Paris, or Rome. It is reasonable to assume that each member of the group has his or her own interests or preferences about places to visit, which in general may differ from ...
Anagnostopoulos, Aris +4 more
core +1 more source
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation
ISPRS International Journal of Geo-Information, 2020 With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural
Chunyang Liu +6 more
doaj +1 more source
A Personalized Travel Recommendation System Using Social Media Analysis [PDF]
, 2018 Personalization of recommender systems enables customized services to users. Social media is one resource that aids personalization. This study explores the use of twitter data to personalize travel recommendations.
Coelho, Joseph +2 more
core +2 more sources
A Diverse and Personalized POI Recommendation Approach by Integrating Geo-Social Embedding Relations
IEEE Access, 2020 User-POI rating matrix is one of the current research hotspot of POI recommendation algorithms, the goal of which is to obtain the POIs with the highest user satisfaction.
Xiangfu Meng, Jinfeng Fang
doaj +1 more source
Recovering Structured Probability Matrices [PDF]
, 2018 We consider the problem of accurately recovering a matrix B of size M by M , which represents a probability distribution over M2 outcomes, given access to an observed matrix of "counts" generated by taking independent samples from the distribution B. How
Huang, Qingqing +3 more
core +2 more sources
, 2009 Social interactions are one of the key factors to the success of conferences and similar community gatherings. This paper describes a novel application that integrates data from the semantic web, online social networks, and a real-world contact sensing ...
Alani, Harith +5 more
core +5 more sources