Information, 2017 Point-of-interest (POI) recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but
Lei Guo +3 more
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Information and participation in decision-making about treatment: a qualitative study of the perceptions and preferences of patients with rheumatoid arthritis. [PDF]
, 2008 Objectives: To elicit the perceptions and preferences of patients with rheumatoid arthritis regarding information and participation in treatment decision-making.
Grünke, Mathias +3 more
core +1 more source
Are Investors Warned by Disclosure of Conflicts of Interest? The Moderating Effect of Investment Horizon [PDF]
, 2020 Financial analysts are required to disclose conflicts of interest (COI) in their research reports, but there is limited evidence on the effectiveness of COI disclosures.
Huang, Z. +3 more
core +1 more source
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 +6 more
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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
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Modeling user mobility via user psychological and geographical behaviors towards point of-interest recommendation [PDF]
, 2016 © Springer International Publishing Switzerland 2016. The pervasive employments of Location-based Social Network call for precise and personalized Point-of-Interest (POI) recommendation to predict which places the users prefer. Modeling user mobility, as
G Linden +7 more
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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
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Adversarial Point-of-Interest Recommendation
The World Wide Web Conference, 2019 Point-of-interest (POI) recommendation is essential to a variety of services for both users and business. An extensive number of models have been developed to improve the recommendation performance by exploiting various characteristics and relations among POIs (e.g., spatio-temporal, social, etc.).
Fan Zhou +5 more
openaire +1 more source
Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information [PDF]
, 2018 Point-of-Interest (POI) recommendation is a new type of recommendation task that comes along with the prevalence of location-based social networks and services in recent years.
Adomavicius Gediminas +13 more
core +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 +5 more
doaj +1 more source