Results 41 to 50 of about 1,010,894 (298)
Deep Collaborative Filtering Approaches for Context-Aware Venue Recommendation [PDF]
, 2016 In recent years, vast amounts of user-generated data have being created on Location-Based Social Networks (LBSNs) such as Yelp and Foursquare. Making effective personalised venue suggestions to users based on their preferences and surrounding context is ...
Eisuke Uchino (648395) +9 more
core +4 more sources
Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations
, 2014 Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems.
Luo, Chen, Pang, Wei, Wang, Zhe
core +2 more sources
An introduction to the special issue on cross-community mining [PDF]
, 2016 People now live in heterogeneous social communities within cyber-physical spaces—both online communities (e.g., Flickr, Google+, LinkedIn) and social networks where digital content is exchanged, and opportunistic or offline communities that exploit ...
Guo, Bin, Pereira, Francisco, Yu, Zhiwen
core +1 more source
Mining for Spatially-Near Communities in Geo-Located Social Networks
, 2013 Current approaches to community detection in social networks often ignore the spatial location of the nodes. In this paper, we look to extract spatially-near communities in a social network. We introduce a new metric to measure the quality of a community
Hannigan, Joseph +4 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
DeepCity: A Feature Learning Framework for Mining Location Check-ins [PDF]
, 2016 Online social networks being extended to geographical space has resulted in large amount of user check-in data. Understanding check-ins can help to build appealing applications, such as location recommendation.
Pang, Jun, Zhang, Yang
core +2 more sources
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 +23 more
wiley +1 more source
A Fine-Grained Indoor Location-Based Social Network [PDF]
IEEE Transactions on Mobile Computing, 2017 15 pages, 18 ...
Moustafa Elhamshary +2 more
openaire +2 more sources
Social-aware Forwarding in Opportunistic Wireless Networks: Content Awareness or Obliviousness?
, 2014 With the current host-based Internet architecture, networking faces limitations in dynamic scenarios, due mostly to host mobility. The ICN paradigm mitigates such problems by releasing the need to have an end-to-end transport session established during ...
Mendes, Paulo, Moreira, Waldir
core +1 more source
Predicting mobile advertising response using consumer colocation networks [PDF]
, 2017 Building on results from economics and consumer behavior, the authors theorize that consumers' movement patterns are informative of their product preferences, and this study proposes that marketers monetize this information using dynamic networks that ...
Katona, Z, Sarvary, M, Zubcsek, PP
core +1 more source