A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
Temporal context-aware task recommendation in crowdsourcing systems
In crowdsourcing systems, tasks are distributed to networked people for completion. To
ensure the output quality, current crowdsourcing systems highly rely on redundancy of …
ensure the output quality, current crowdsourcing systems highly rely on redundancy of …
SPR: Similarity pairwise ranking for personalized recommendation
Bayesian personalized ranking (BPR) has been proposed as an effective method to model
pairwise learning, and it is widely used in many personalized recommender systems …
pairwise learning, and it is widely used in many personalized recommender systems …
LORI: a learning-to-rank-based integration method of location recommendation
J Li, G Liu, C Yan, C Jiang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Location recommendation method is an important application in a location-based social
network. At present, it is a trend to integrate different recommendation methods since they …
network. At present, it is a trend to integrate different recommendation methods since they …
Time and location aware points of interest recommendation in location-based social networks
The wide spread of location-based social networks brings about a huge volume of user
check-in data, which facilitates the recommendation of points of interest (POIs). Recent …
check-in data, which facilitates the recommendation of points of interest (POIs). Recent …
FACF: Fuzzy areas-based collaborative filtering for point-of-interest recommendation
IADS Tourinho, TN Rios - International Journal of …, 2021 - inderscienceonline.com
Several online social networks collect information from their users' interactions (co-tagging
of photos, co-rating of products, etc.) producing a large amount of activity-based data. As a …
of photos, co-rating of products, etc.) producing a large amount of activity-based data. As a …
基于位置社交网络的兴趣点推荐研究.
李征， 黄雪原， 袁科 - Application Research of Computers …, 2022 - search.ebscohost.com
兴趣点推荐是基于位置社交网络中的研究热点之一. 首先对从Webofscience
收集的兴趣点推荐研究文献进行了分析; 然后分析了影响兴趣点推荐的多种因素 …
收集的兴趣点推荐研究文献进行了分析; 然后分析了影响兴趣点推荐的多种因素 …
FAC: a music recommendation model based on fusing audio and chord features (115)
Music content has recently been identified as useful information to promote the performance
of music recommendations. Existing studies usually feed low-level audio features, such as …
of music recommendations. Existing studies usually feed low-level audio features, such as …
[图书][B] Point-of-Interest Recommendation in Location-Based Social Networks
Location-based social networks (LBSNs) have become popular recently because of the
explosive increase of smart phones that makes users easily to access to the LBSN Apps …
explosive increase of smart phones that makes users easily to access to the LBSN Apps …
Design of Red Culture Retrieval System Based on Multimodal Data Fusion and Innovation of Communication Strategy Path
J Yi, Y Tian, Y Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Cultural communication plays a vital role in social development and human interaction. Red
culture, as an integral part of China's revolutionary history and socialist construction, holds …
culture, as an integral part of China's revolutionary history and socialist construction, holds …