Urban point-of-interest recommendation by mining user check-in behaviors
In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as
restaurants, based on social information have attracted a lot of attention. Although a number …
restaurants, based on social information have attracted a lot of attention. Although a number …
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 …
Mining user check-in behavior with a random walk for urban point-of-interest recommendations
In recent years, research into the mining of user check-in behavior for point-of-interest (POI)
recommendations has attracted a lot of attention. Existing studies on this topic mainly treat …
recommendations has attracted a lot of attention. Existing studies on this topic mainly treat …
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) …
iMCRec: A multi-criteria framework for personalized point-of-interest recommendations
User preferences on geographical positions and categories of points-of-interest (POIs) have
been exploited for POI recommendations. However, in reality, the users' visiting behaviors …
been exploited for POI recommendations. However, in reality, the users' visiting behaviors …
Learning geographical preferences for point-of-interest recommendation
The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
Adapting to user interest drift for poi recommendation
Point-of-Interest recommendation is an essential means to help people discover attractive
locations, especially when people travel out of town or to unfamiliar regions. While a …
locations, especially when people travel out of town or to unfamiliar regions. While a …
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 …
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 …
Time-aware point-of-interest recommendation
The availability of user check-in data in large volume from the rapid growing location based
social networks (LBSNs) enables many important location-aware services to users. Point-of …
social networks (LBSNs) enables many important location-aware services to users. Point-of …