Geosoca: Exploiting geographical, social and categorical correlations for point-of-interest recommendations
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …
restaurants, has become an important feature for location-based social networks (LBSNs) …
A personalized point-of-interest recommendation model via fusion of geo-social information
R Gao, J Li, X Li, C Song, Y Zhou - Neurocomputing, 2018 - Elsevier
Recently, as location-based social networks (LBSNs) rapidly grow, general users utilize
point-of-interest recommender systems to discover attractive locations. Most existing POI …
point-of-interest recommender systems to discover attractive locations. Most existing POI …
An experimental evaluation of point-of-interest recommendation in location-based social networks
Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …
Content-aware point of interest recommendation on location-based social networks
The rapid urban expansion has greatly extended the physical boundary of users' living area
and developed a large number of POIs (points of interest). POI recommendation is a task …
and developed a large number of POIs (points of interest). POI recommendation is a task …
ORec: An opinion-based point-of-interest recommendation framework
As location-based social networks (LBSNs) rapidly grow, it is a timely topic to study how to
recommend users with interesting locations, known as points-of-interest (POIs). Most …
recommend users with interesting locations, known as points-of-interest (POIs). Most …
Contextualized point-of-interest recommendation
Abstract Point-of-interest (POI) recommendation has become an increasingly important sub-
field of recommendation system research. Previous methods employ various assumptions to …
field of recommendation system research. Previous methods employ various assumptions to …
Exploiting geographical influence for collaborative point-of-interest recommendation
In this paper, we aim to provide a point-of-interests (POI) recommendation service for the
rapid growing location-based social networks (LBSNs), eg, Foursquare, Whrrl, etc. Our idea …
rapid growing location-based social networks (LBSNs), eg, Foursquare, Whrrl, etc. Our idea …
Personalized point-of-interest recommendation by mining users' preference transition
Location-based social networks (LBSNs) offer researchers rich data to study people's online
activities and mobility patterns. One important application of such studies is to provide …
activities and mobility patterns. One important application of such studies is to provide …
Rank-geofm: A ranking based geographical factorization method for point of interest recommendation
With the rapid growth of location-based social networks, Point of Interest (POI)
recommendation has become an important research problem. However, the scarcity of the …
recommendation has become an important research problem. However, the scarcity of the …
An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features
Y Si, F Zhang, W Liu - Knowledge-Based Systems, 2019 - Elsevier
Abstract Point-of-interest (POI) recommendations can help users effectively explore new
locations according to their preferences, which is an important research aspect for location …
locations according to their preferences, which is an important research aspect for location …