Results 21 to 30 of about 255,061 (262)

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation

IEEE Access, 2018
Point-of-interest (POI) recommendation has attracted many interests recently because of its significant potential for helping users to explore new places and helping location-based service (LBS) providers to carry out precision marketing.
An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang   +6 more
doaj   +1 more source

Point of Interest Recommendation Algorithm Fusing with Spatiotemporal and Popularity Features [PDF]

Jisuanji gongcheng, 2018
Point of Interest(POI) recommendation helps users to find the desired location,but the recommendation accuracy of existing recommendation algorithms is low.To solve this problem,a POI recommendation algorithm fusing with spatiotemporal and popularity ...
WU Yan,ZHANG Yun,CHEN Shuangshuang
doaj   +1 more source

Natural Noise Filtering Algorithm for Point-of-Interest Recommender Systems [PDF]

Jisuanji kexue, 2023
The inherent natural noise in the original dataset of recommender systems(RSs) causes error and interference to re-commendation algorithms.Existing studies pay more attention to the malicious noise represented by various security attacks.The natural ...
ZHU Jun, HAN Lixin, ZONG Ping, XU Yiqing, XIA Ji’an, TANG Ming
doaj   +1 more source

SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation

Data Science and Engineering, 2023
The expansion of available information in location-based social networks (LBSNs) has led to information overload, making it urgent to discover users’ next point-of-interest (POI).
Junzhuang Wu, Yujing Zhang, Yuhua Li, Yixiong Zou, Ruixuan Li, Zhenyu Zhang   +5 more
doaj   +1 more source

A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence

ISPRS International Journal of Geo-Information, 2022
Point of interest (POI) recommendation as an important service in location-based social networks has developed rapidly, which can help users find more interesting unknown locations and facilitate service providers to provide users with more accurate ...
Xican Wang, Yanheng Liu, Xu Zhou, Xueying Wang, Zhaoqi Leng   +4 more
doaj   +1 more source

Survey on Deep Learning Applications in Point-of-Interest Recommendation [PDF]

Jisuanji kexue yu tansuo
With the proliferation of mobile devices and location-based services, massive user check-in data from location-based social networks have generated widespread attention for point-of-interest (POI) recommendation as an important location service ...
HUANG Ping, WANG Feng, LIU Guangteng, WU Zhongbo, LI Xiaoli, HUANG Jinzhou
doaj   +1 more source

RecPOID: POI Recommendation with Friendship Aware and Deep CNN

Future Internet, 2021
In location-based social networks (LBSNs), exploit several key features of points-of-interest (POIs) and users on precise POI recommendation be significant. In this work, a novel POI recommendation pipeline based on the convolutional neural network named
Sadaf Safavi, Mehrdad Jalali
doaj   +1 more source

How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks

International Journal of Information Management Data Insights, 2023
Point of Interest (POI) recommendation is an important Location-Based Social Network (LBSN) task that has become a hotspot in the past decade. It aims to exploit the user's preferences for venues and recommend the POIs for their next visit.
Malika Acharya, Shilpi Yadav, Krishna Kumar Mohbey   +2 more
doaj   +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, Jiping Liu, Shenghua Xu, Jian Wang, Chao Liu, Tianyang Chen, Tao Jiang   +6 more
doaj   +1 more source

Multimodal Point-of-Interest Recommendation

CoRR
Large Language Models are applied to recommendation tasks such as items to buy and news articles to read. Point of Interest is quite a new area to sequential recommendation based on language representations of multimodal datasets. As a first step to prove our concepts, we focused on restaurant recommendation based on each user's past visit history ...
Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima   +4 more
openaire   +2 more sources