Personalized ranking metric embedding for next new poi recommendation
The rapidly growing of Location-based Social Networks (LBSNs) provides a vast amount of
check-in data, which enables many services, eg, point-of-interest (POI) recommendation. In …
check-in data, which enables many services, eg, point-of-interest (POI) recommendation. In …
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 …
RecNet: A deep neural network for personalized POI recommendation in location-based social networks
R Ding, Z Chen - International Journal of Geographical Information …, 2018 - Taylor & Francis
How to exploit various features of users and points of interest (POIs) for accurate POI
recommendation is important in location-based social networks (LBSNs). In this paper, a …
recommendation is important in location-based social networks (LBSNs). In this paper, a …
[PDF][PDF] Where you like to go next: Successive point-of-interest recommendation
Personalized point-of-interest (POI) recommendation is a significant task in location-based
social networks (LBSNs) as it can help provide better user experience as well as enable …
social networks (LBSNs) as it can help provide better user experience as well as enable …
[PDF][PDF] Category-aware next point-of-interest recommendation via listwise Bayesian personalized ranking.
J He, X Li, L Liao - IJCAI, 2017 - ijcai.org
Abstract Next Point-of-Interest (POI) recommendation has become an important task for
location-based social networks (LBSNs). However, previous efforts suffer from the high …
location-based social networks (LBSNs). However, previous efforts suffer from the high …
Inferring a personalized next point-of-interest recommendation model with latent behavior patterns
In this paper, we address the problem of personalized next Point-of-interest (POI)
recommendation which has become an important and very challenging task in location …
recommendation which has become an important and very challenging task in location …
Time-aware metric embedding with asymmetric projection for successive POI recommendation
Abstract Successive Point-of-Interest (POI) recommendation aims to recommend next POIs
for a given user based on this user's current location. Indeed, with the rapid growth of …
for a given user based on this user's current location. Indeed, with the rapid growth of …
Learning graph-based poi embedding for location-based recommendation
With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-
based social networks (LBSNs), location-based recommendation has become an important …
based social networks (LBSNs), location-based recommendation has become an important …
Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation
Being an indispensable component in location-based social networks, next point-of-interest
(POI) recommendation recommends users unexplored POIs based on their recent visiting …
(POI) recommendation recommends users unexplored POIs based on their recent visiting …
Geo-teaser: Geo-temporal sequential embedding rank for point-of-interest recommendation
Point-of-interest (POI) recommendation is an important application for location-based social
networks (LBSNs), which learns the user preference and mobility pattern from check-in …
networks (LBSNs), which learns the user preference and mobility pattern from check-in …