Results 41 to 50 of about 852,574 (290)

Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation [PDF]

, 2016
Venue recommendation aims to assist users by making personalised suggestions of venues to visit, building upon data available from location-based social networks (LBSNs) such as Foursquare.
Macdonald, Craig, Manotumruksa, Jarana, Ounis, Iadh   +2 more
core   +1 more source

From Recommendation Systems to Facility Location Games

, 2018
Recommendation systems are extremely popular tools for matching users and contents. However, when content providers are strategic, the basic principle of matching users to the closest content, where both users and contents are modeled as points in some ...
Ben-Porat, Omer, Goren, Gregory, Rosenberg, Itay, Tennenholtz, Moshe   +3 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Event-Based Probabilistic Embedding for POI Recommendation

Applied Sciences, 2023
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, Hengyu Liu, Xue Geng, Ge Yu   +3 more
doaj   +1 more source

Group oriented trust-aware location recommendation for location-based social networks

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022
With the increasing popularity of social networks and online communities, group recommendation systems arise in order to support users to interact with those having similar interests, and to provide recommendations for joint activities, such as eating out as a group or seeing a movie with friends.
Teoman, Huseyin Alper, Karagoz, Pinar
openaire   +2 more sources

When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy

, 2019
In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and leakage of sensitive information, so it is necessary to protect the privacy ...
A Wasef, C Dwork, H Shin, L Sweeney, N Sadeh, SL Warner, Y Koren, YA Montjoye De, Z Huo   +8 more
core   +3 more sources

Location-aware online learning for top-k recommendation [PDF]

, 2017
We address the problem of recommending highly volatile items for users, both with potentially ambiguous location that may change in time. The three main ingredients of our method include (1) using online machine learning for the highly volatile items; (2)
Abernethy, András A. Benczúr, Bakshy, Bao, Barabasi, Berjani, Chen, Cheng, Cremonesi, Deshpande, Diaz-Aviles, Dobos, Erzsébet Frigó, Gao, Harvey, Hu, Júlia Pap, Kuo, Kurashima, Kwak, Kywe, Lee, Levandoski, Levente Kocsis, Ma, Ma, Mocanu, Pilászy, Pilászy, Preparata, Pálovics, Pálovics, Péter Szalai, Róbert Pálovics, Schein, Shardanand, Symeonidis, Vazquez, Ye, Ye, Zangerle, Zheng, Zheng, Zhou   +43 more
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Personalized Recommendation of Location-Based Services Using Spatio-Temporal-Aware Long and Short Term Neural Network

IEEE Access, 2022
User behavioral data are critical for predicting the next item in a recommendation system, which can be acquired by location-based services. However, existing approaches directly use latitude and longitude information, rather than fully exploitation of ...
Xiaoshuang Sheng, Fan Wang, Yifan Zhu, Tengfei Liu, Huan Chen   +4 more
doaj   +1 more source

Hoodsquare: Modeling and Recommending Neighborhoods in Location-based Social Networks

, 2013
Information garnered from activity on location-based social networks can be harnessed to characterize urban spaces and organize them into neighborhoods.
Mascolo, Cecilia, Noulas, Anastasios, Scellato, Salvatore, Zhang, Amy X.   +3 more
core   +1 more source