To effectively extract user interests, this paper proposes a hybrid user modeling approach which integrates isolated interests discovery via text analysis into ...

Abstract—For adapting functionality to individual users, sys- tems need interest prediction information of these users. Social.

PDF | On Aug 1, 2016, Mingqing Huang and others published Socialized User Modeling in Microblogging Scenarios for Interest Prediction | Find, read and cite ...

To effectively extract user interests, this paper proposes a hybrid user modeling approach which integrates isolated interests discovery via text analysis into ...

Socialized User Modeling in Microblogging Scenarios for Interest Prediction. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/dasc ...

Apr 25, 2024 · , Zhu Zhang: Socialized User Modeling in Microblogging Scenarios for Interest Prediction. DASC/PiCom/DataCom/CyberSciTech 2016: 124-131. [c1].

Socialized User Modeling in Microblogging Scenarios for Interest Prediction ... model, which greatly improved the accuracy of predicting user interests. In ...

Socialized User Modeling in Microblogging Scenarios for Interest Prediction. DASC/PiCom/DataCom/CyberSciTech 2016: 124-131. [+][–]. Coauthor network. maximize.

A new microblogs user influence algorithm called microblog user influence based on interest similarity and information dissemination ability (MUI-ISIDA), ...

In socialized recommender systems, mining socialized relationships is critical for pushing or sharing interesting people and things with target users.