Project

User Profile Mining, Social Networks

Keywords: user, profile, internet, social network, text mining, natual language processing, clustering
Description: Identification of user profiles based on users' behavior on the web. Practical applications in various knowledge and information management projects.
Status: Finished


People on this project:


Jiří Hynek


Phone: +420 603492837
E-mail: jhynek@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/staff/osobni.php?id_osoby=147&lang=EN

Jiri, a co-founder of the Text-Mining Research Group, works as a lecturer at the Dept. of Computer Science and Engineering. His research interests include machine learning and language-related problems. Jiri’s teaching activity is focused on good writing style and technical writing in general.

Petr Grolmus


E-mail: indy@civ.zcu.cz

Petr used to be a co-founder of the Text-Mining research group. His interest was mainly focused on the identification of user profiles based on users behavior on the Web.

Karel Ježek


Phone:  +420 377632475, 377632400
E-mail: jezek_ka@kiv.zcu.cz
WWW: http://www-kiv.zcu.cz/~jezek_ka/

Karel is a group coordinator and a supervisor of PhD students working at research projects of this Group.

Related Downloads:


Publication

Sciento

Size:2 kB
Desc:This software has been developed within the project 2C06009 co-funded by the Ministry of Education of the Czech Republic. It consists of four modules that allow for a scientometric analysis of DBLP and CiteSeer data. Data from these two digital bibliographic libraries can be imported into a relational SQL database and thoroughly examined. This software implements novel evaluation methods that enable creating rankings of influential researchers by mining from the above digital libraries.
Related:  User Profile Mining, Social Networks
Publication

TArank

Size:2 kB
Desc:This software applies a novel method called "time-aware PageRank" to analyze bibliographic citation networks.
Related:  User Profile Mining, Social Networks