Results 61 to 70 of about 852,574 (290)
Multi-Label Classification with Deep Learning for Retail Recommendation
Journal of Informatics and Web Engineering, 2023 Selecting the right retail business for a location is crucial for the success of a business because it determines the likelihood of favourable return on investment.
Zhi Yuan Poo +3 more
doaj +1 more source
Social and place-focused communities in location-based online social networks
, 2013 Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence
Brown, Chloë +4 more
core +1 more source
Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform [PDF]
, 2011 Nowadays, most people have limited leisure time and the offer of (cultural) activities to spend this time is enormous. Consequently, picking the most appropriate events becomes increasingly difficult for end-users.
Bannier, Stijn +7 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Secure Federated Matrix Factorization via Device-to-Device Model Shuffling
IEEE AccessLocation-Based Recommendation Systems (LBRS) use device location data to suggest nearby hotels, restaurants, and points of interest. Since directly collecting location data from users can raise privacy concerns, there is growing interest in building ...
Taisho Sasada +4 more
doaj +1 more source
Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding [PDF]
Jisuanji kexue yu tansuoThe increasingly large scale of location-based social networks (LBSN) promotes the rapid development of point-of-interest (POI) recommendation business.
LI Manwen, ZHANG Yueqin, ZHANG Chenwei, ZHANG Zehua
doaj +1 more source
A Survey of Location Prediction on Twitter
, 2018 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Location Based Recommendation Application [PDF]
, 2014 For our senior design project we decided to make an iOS application that could generate a list of nearby locations for the user to visit. We wanted the recommendation list to be unique for each user instead of a list of the most popular locations in the ...
Dario, Nicholas +2 more
core +1 more source
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation [PDF]
, 2017 Recommending a ranked list of interesting venues to users based on their preferences has become a key functionality in Location-Based Social Networks (LBSNs) such as Yelp and Gowalla.
Burges Christopher J. +4 more
core +1 more source