Results 41 to 50 of about 1,139,810 (293)
CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation
Point-of-interest (POI) recommendation system that tries to anticipate user’s next visiting location has attracted a plentiful research interest due to its ability in generating personalized suggestions.
Md. Billal Hossain +5 more
doaj +1 more source
Recommendation Method for Time-Sequence Point of Interest via Spatio-Temporal Vicinity Perception [PDF]
How to capture the dynamic changes and dependencies of user behavior is a vital issue existing in point-of-interest (POI) recommendation. It mainly faces challenges including data scarcity, difficulty in extracting spatio-temporal sequence features and ...
WEN Wen, DENG Fengying, HAO Zhifeng, CAI Ruichu, LIANG Fangyu
doaj +1 more source
A Survey of Location Prediction on Twitter
Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades.
Han, Jialong, Sun, Aixin, Zheng, Xin
core +1 more source
Time Distribution Based Diversified Point of Interest Recommendation
In location-based social networks (LBSNs), personalized point-of-interest (POI) recommendation helps users mine their interests and find new locations conveniently and quickly. It is one of the most important services to improve users’ quality of life and travel.
Fan Mo, Huida Jiao, Hayato Yamana
openaire +1 more source
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 +23 more
wiley +1 more source
Online Reciprocal Recommendation with Theoretical Performance Guarantees [PDF]
A reciprocal recommendation problem is one where the goal of learning is not just to predict a user's preference towards a passive item (e.g., a book), but to recommend the targeted user on one side another user from the other side such that a mutual ...
Gentile, Claudio +2 more
core +2 more sources
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 +4 more
wiley +1 more source
Point-of-interest Recommendation Based on Geospatial-TemporalCorrelations and Social Influence [PDF]
With the popularity of location-based social networks,personalized POI recommendation has become an important task.However,existing research inadequately considers the intrinsic relationships when modeling and integrating contextual information.Among ...
JIN Hong, CHEN Like, YOU Lan, LYU Shunying, ZHOU Kaicheng, XIAO Kui
doaj +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
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high commercial value.
Brafman R. I. +8 more
core +1 more source

