Beitrag in einem Sammelband
Social Tagging Recommender Systems



Details zur Publikation
Autor(inn)en:
Jäschke, R.; Hotho, A.; Stumme, G.
Herausgeber:
Ricci Francesco, Rokach Lior, Shapira Bracha, Kantor B. Paul
Verlag:
Springer
Verlagsort / Veröffentlichungsort:
New York
Publikationsjahr:
2011
Seitenbereich:
615-644
Buchtitel:
Recommender Systems Handbook
ISBN:
978-0-387-85819-7

Zusammenfassung, Abstract
The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. Recommender Systems are well known applications for increasing the level of relevant content over the noise that continuously grows as more and more content becomes available online. In STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such


Schlagwörter
collaborative, recommender, social, tagging


Autor(inn)en / Herausgeber(innen)

Zuletzt aktualisiert 2019-25-07 um 11:10