Results 21 to 30 of about 228 (183)

Session‐Based Graph Attention POI Recommendation Network

open access: yesWireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Point‐of‐interest (POI) recommendation which aims at predicting the locations that users may be interested in has attracted wide attentions due to the development of Internet of Things and location‐based services. Although collaborative filtering based methods and deep neural network have gain great success in POI recommendation, data sparsity and cold
Zhuohao Zhang   +3 more
wiley   +1 more source

User Model‐Based Personalized Recommendation Algorithm for News Media Education Resources

open access: yesMathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
Traditional recommendations for news and media education resources usually ignore the importance of sequential patterns in user check‐in behavior and fail to effectively capture the complex and dynamically changing interests of users. As a result, this study provides a recommendation model for news and media education materials based on a user model ...
Zhu Shilin, Naeem Jan
wiley   +1 more source

Personalized Travel Route Recommendation Model of Intelligent Service Robot Using Deep Learning in Big Data Environment

open access: yesJournal of Robotics, Volume 2022, Issue 1, 2022., 2022
Aiming at the problems that the traditional model is difficult to extract information features, difficult to learn deep knowledge, and cannot automatically and effectively obtain features, which leads to the problem of low recommendation accuracy, this paper proposes a personalized tourism route recommendation model of intelligent service robot using ...
Xiang Huang, Shan Zhong
wiley   +1 more source

Inferring Location Types With Geo-Social-Temporal Pattern Mining

open access: yesIEEE Access, 2020
With a rapid growth in the global population, the modern world is undergoing a rapid expansion of residential areas, especially in urban centres. This continuously demands for increased general services and basic amenities, which are required according ...
Tarique Anwar   +5 more
doaj   +1 more source

A POI Recommendation Algorithm Based on the Heterogeneous Graph Convolution Network

open access: yesScientific Programming, Volume 2022, Issue 1, 2022., 2022
Point‐of‐interest (POI) recommendation is a type of recommendation task, which generates a list of places that users may be interested in. There is a complex heterogeneous graph structure between users and points of interest. The current recommendation algorithms are generally based on Euclidean space data, and the algorithms based on graph structure ...
Yue Li, Zhihan Liu
wiley   +1 more source

A Secure Recommendation System for Providing Context‐Aware Physical Activity Classification for Users

open access: yesSecurity and Communication Networks, Volume 2021, Issue 1, 2021., 2021
Advances in Wireless Body Area Networks, where embedded accelerometers, gyroscopes, and other sensors empower users to track real‐time health data continuously, have made it easier for users to follow a healthier lifestyle. Various other apps have been intended to choose suitable physical exercise, depending on the current healthcare environment.
Sudhakar Sengan   +6 more
wiley   +1 more source

Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media

open access: yesISPRS International Journal of Geo-Information, 2016
Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and
Basma AlBanna   +3 more
doaj   +1 more source

Joint Modeling of User Behaviors Based on Variable‐Order Additive Markov Chain for POI Recommendation

open access: yesWireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
The POI recommendation system has become an important means to help people discover attractive and interesting places. Based on our data analysis, we observe that users pay equal attention to conservatism and curiosity. In particular, adopting analysis corresponding to different time intervals, we find that users lean towards old POIs in the short term
RuiChang Li, Yuyu Yin
wiley   +1 more source

NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2023
During the last decades, tourism has been augmented worldwide through which the diversity of tourists’ interests is increased and is challenging to tackle with the traditional management system.
Inayat Khan   +5 more
doaj   +1 more source

Next Point-of-Interest Recommendation Based on Joint Mining of Spatial–Temporal and Semantic Sequential Patterns

open access: yesISPRS International Journal of Geo-Information, 2023
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user’s check-in behavior at the current moment by analyzing and mining ...
Jing Tian, Zilin Zhao, Zhiming Ding
doaj   +1 more source

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