English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

With the growing amount of mobile social media, offline ephemeral socialnetworks (OffESNs) are receiving more and more attentions. Offline ephemeralsocial networks (OffESNs) are the networks created ad-hoc at a specificlocation for a specific purpose and lasting for short period of time, relyingon mobile social media such as Radio Frequency Identification (RFID) andBluetooth devices. The primary purpose of people in the OffESNs is to acquireand share information via attending prescheduled events. Event Recommendationover this kind of networks can facilitate attendees on selecting theprescheduled events and organizers on making resource planning. However,because of lack of users preference and rating information, as well as explicitsocial relations, both rating based traditional recommendation methods andsocial-trust based recommendation methods can no longer work well to recommendevents in the OffESNs. To address the challenges such as how to derive userslatent preferences and social relations and how to fuse the latent informationin a unified model, we first construct two heterogeneous interaction socialnetworks, an event participation network and a physical proximity network.Then, we use them to derive users latent preferences and latent networks onsocial relations, including like-minded peers, co-attendees and friends.Finally, we propose an LNF (Latent Networks Fusion) model under a pairwisefactor graph to infer event attendance probabilities for recommendation.Experiments on an RFID-based real conference dataset have demonstrated theeffectiveness of the proposed model compared with typical solutions.

Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks