Results 61 to 70 of about 30,535 (208)
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
Albeit, the implicit feedback based recommendation problem - when only the user history is available but there are no ratings - is the most typical setting in real-world applications, it is much less researched than the explicit feedback case.
F. Ricci +4 more
core +1 more source
Hybrid POI Recommendation System for Tourism
Due to the increase in amount of available information, finding places and planning of the activities to be done during a tour can be strenuous. Tourists are looking for information about a place in which they have not been before, which worsen the selection of places that fit better with user’s preferences.
Ershad Sharifahmadian +1 more
openaire +1 more source
ABSTRACT Infrastructure‐led development in rapidly urbanizing economies often generates accessibility gains that fail to translate into balanced urban outcomes, particularly when local fiscal institutions redirect those gains toward revenue‐generating land uses. Filling this gap, especially in fiscally constrained county‐level cities where land finance
Ming Xie, Xiaoxiao Liao, Zhenlin Xie
wiley +1 more source
As the core of location-based social networks (LBSNs), the main task of next point-of-interest (POI) recommendation is to predict the next possible POI through the context information from users’ historical check-in trajectories.
Zheng Li +3 more
doaj +1 more source
Risk of Cancer With Hormone Replacement Therapy: A Narrative Review
ABSTRACT Hormone replacement therapy (HRT) remains the cornerstone of menopausal symptom management, effectively alleviating vasomotor symptoms and genitourinary syndrome, whilst mitigating long‐term risks such as osteoporosis. However, despite an increasing body of evidence on the relative safety of HRT, earlier studies that demonstrated an increased ...
Gabriella Yongue +3 more
wiley +1 more source
Privacy-enhanced personalized POI recommendation with federated learning framework
With the development of O2O e-commerce, POI recommendation services are increasingly important in integrating online and offline consumer scenarios.
Chunhua Ju +3 more
doaj +1 more source
Multi-granularity contrastive learning model for next POI recommendation
Next Point-of-Interest (POI) recommendation aims to predict the next POI for users from their historical activities. Existing methods typically rely on location-level POI check-in trajectories to explore user sequential transition patterns, which suffer ...
Yunfeng Zhu, Shuchun Yao, Xun Sun
doaj +1 more source
Crossroads of the Life of Vittorio Alfieri
Abstract This article examines Vittorio Alfieri's Life as a deliberately constructed narrative of cultural, linguistic, and political self‐fashioning within eighteenth‐century European intellectual networks. Rather than treating the autobiography as a transparent record of experience, the article argues that Alfieri retrospectively reorganizes his ...
Sara Gallegati
wiley +1 more source
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation
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
doaj +1 more source
Update on Menopause Hormone Therapy; Current Indications and Unanswered Questions
ABSTRACT Objective To provide clinicians involved in managing menopause with a summary of current evidence surrounding menopause hormone therapy (MHT). Design The authors evaluate and synthesize existing pooled evidence relating to MHT's clinical indications, efficacy, and safety and explore the limitations of existing data. Patients The review focuses
Annice Mukherjee, Susan R. Davis
wiley +1 more source

