[HTML][HTML] Leveraging social influence based on users activity centers for point-of-interest recommendation
Abstract Recommender Systems (RSs) aim to model and predict the user preference while
interacting with items, such as Points of Interest (POIs). These systems face several …
interacting with items, such as Points of Interest (POIs). These systems face several …
A top-k POI recommendation approach based on LBSN and multi-graph fusion
J Fang, X Meng, X Qi - Neurocomputing, 2023 - Elsevier
POI (Point of Interest) recommendation is a basic and on-going issue in LBSN (Location-
based Social Network) services. In this paper, a novel POI recommendation approach which …
based Social Network) services. In this paper, a novel POI recommendation approach which …
Global and local hypergraph learning method with semantic enhancement for POI recommendation
The deep semantic information mining extracts deep semantic features from textual data and
effectively utilizes the world knowledge embedded in these features, so it is widely …
effectively utilizes the world knowledge embedded in these features, so it is widely …
POI recommendation with federated learning and privacy preserving in cross domain recommendation
L Wang, Y Wang, Y Bai, P Liu… - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
Point-of-Interest (POI) recommendation is one of the most popular recommendation
methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share …
methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share …
gTour: Multiple itinerary recommendation engine for group of tourists
JL Sarkar, A Majumder - Expert Systems with Applications, 2022 - Elsevier
Tourism is currently extremely significant in the world because it is one of a country's primary
sources of revenue and employment. Tourists experience a number of challenges in …
sources of revenue and employment. Tourists experience a number of challenges in …
A new point-of-interest approach based on multi-itinerary recommendation engine
JL Sarkar, A Majumder - Expert Systems with Applications, 2021 - Elsevier
The significance of tourism in the globe today is enormous since it is a major source of
income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable …
income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable …
Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review
Location-based social networks (LBSNs) have bridged the gap between the virtual and real
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
Adaptive social recommendation combined with the multi-domain influence
Social relationships help to model user's potential preferences and improve
recommendation accuracy. In social recommendation, user decision-making will be affected …
recommendation accuracy. In social recommendation, user decision-making will be affected …
Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation
M Gan, C Tan - World Wide Web, 2023 - Springer
Next point-of-interest (POI) recommendation is important for users to help them find
interesting venues to visit in the near future. Most previous work on this subject has …
interesting venues to visit in the near future. Most previous work on this subject has …
Incremental tree-based successive POI recommendation in location-based social networks
This paper proposes a sequential rules-based recommendation system, called STS-Rec. It
addresses the main drawbacks of sequential patterns mining approaches for POI (Point of …
addresses the main drawbacks of sequential patterns mining approaches for POI (Point of …