Results 31 to 40 of about 817 (198)
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With the advent of the “Internet+” era, with the rapid development of emerging technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence, the era of the technological change in education has arrived, with diversification of resources and large‐scale data.
Jianfeng Hou +3 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 College students are the main group of Internet users. With the development of electronic technology and mobile communication technology in China, most college students can easily use computers to access the Internet, and almost all college students use mobile phones, and using mobile phones to access the Internet has become very common in Colleges and
Yahong Su, Zhaojie Lv, Lianhui Li
wiley +1 more source
Session‐Based Graph Attention POI Recommendation Network
Wireless 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
Mathematical 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
Karttakohteiden suosittelu LBSN-palveluissa [PDF]
, 2023 Kehitys laajakaistaisissa langattomissa verkoissa sekä mobiililaitteiden yleistyminen on mahdollistanut pääsyn internetiin melkein kaikkialla. Sen lisäksi mobiililaitteiden kyky jakaa sijaintitietoa on johtanut sijaintitietoon perustuvien sosiaalisten ...
Timoskainen, Lassi
core
ISPRS International Journal of Geo-Information, 2021 Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation.
Dongjin Yu +3 more
doaj +1 more source
Journal 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
A POI Recommendation Algorithm Based on the Heterogeneous Graph Convolution Network
Scientific 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
Revisiting city tourism in the longer run: an exploratory analysis based on LBSN data
, 2023 This study addresses the methodological gap in tourism research regarding the long-term monitoring of tourism activities in urban settings. We propose an analytical framework that uses data from location-based social networks (LBSN) to derive tourists’
Rocha, Jorge +5 more
core +1 more source