Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest.

ABSTRACT: Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect users' fine-grained interest as well as the evolving feature of interest, which may cause unsuitable recommendation. In particular, some OSNs, such as the online learning community, even have little work on friend recommendation. To this end, we strive to improve friend recommendation with fine-grained evolving interest in this paper. We take the online learning community as an application scenario, which is a special type of OSNs for people to learn courses online. Learning partners can help improve learners' learning effect and improve the attractiveness of platforms. We propose a learning partner recommendation framework based on the evolution o

SUBMITTER: Shao MM 

PROVIDER: S-EPMC9797881 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature