Results 41 to 50 of about 1,557 (194)
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
doaj +1 more source
Event-Based Probabilistic Embedding for POI Recommendation
Location-based social networks (LBSNs) have collected massive geo-tagged information, enabling the derivation of user preference for point of interests (POIs) in support of personalized recommendation. The existing embedding techniques deal with multiple
Tiancheng Zhang +3 more
doaj +1 more source
Hsp90 Inhibition on the Western Blot: N‐Terminal Versus C‐Terminal Inhibitors in Breast Cancer
ABSTRACT Heat shock protein 90 (Hsp90) is an established and clinically validated anticancer target. By regulating the folding and maturation of diverse client proteins, it is indirectly involved in carcinogenesis. Key breast cancer oncogenic drivers, including estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2, are ...
Jaka Dernovšek +3 more
wiley +1 more source
Point-of-Interest (POI) recommendation is one of the important services of location-based social networks (LBSNs), which has become an important way to help users discover interesting places and increase the potential income of related companies ...
Yangyang Xu +5 more
doaj +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
Integrate Influence of Regions and Friends for Next POI Recommendation
With the increasing popularity of mobile devices, a large amount of user check-in point of interests (POIs) data have been accumulated. The information of user check-in makes the recommendation of the next POI become a hot issue in recent years.
ZHANG Aoya, SHI Meihui, SHEN Derong, KOU Yue, NIE Tiezheng
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
Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation
Point of interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help to suggest new locations and makes LBSNs more prevalent to users. Successive POI recommendation is a nature extension of the general POI
Yan Wen +4 more
doaj +1 more source
Abstract Background and Purpose Asymmetrical dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase (NOS), whereas dimethylaminohydrolase 1 (DDAH1) is primarily responsible for its metabolism. However, the roles of DDAH1 in cerebrovascular regulation are poorly understood. Furthermore, despite evidence that elevated ADMA levels are
Arun Flynn +10 more
wiley +1 more source
Exploring Spatial and Mobility Pattern’s Effects for Collaborative Point-of-Interest Recommendation
In recent years, researches on the mining of user check-in behaviors for point-of-interest(POI) recommendations has attracted a lot of attention. Personalized POI recommendation is a significant task in location-based social networks(LBSNs) because it ...
Xu Jiao +4 more
doaj +1 more source

