Usage Context-based Object Recommendation

In this paper, we present a new way of discovering semantic relations between items by comparing their usage contexts in online portals. This way, we do not need to consider the content of the items to find semantic similarities. Additionally, we explore the use of these usage context-based similarities for enhancing recommender systems.

Content

Author and article information

Contributors

Katja Niemann

Conference

Publication date: September 2013

Publication date (Print): September 2013

Pages: 26-31

Affiliations

[0001]Fraunhofer Institute for Applied Information Technology FIT

Schloss Birlinghoven

Sankt Augustin, Germany

www.fit.fraunhofer.de

Article

DOI: 10.14236/ewic/FDIA2013.6

SO-VID: ad9d7b64-32f6-4ce8-88a4-7a163f93a78f

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)

Conference acronym: FDIA

Conference number: 5

Conference location: Granada, Spain

Conference date: 3 September 2013

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Future Directions in Information Access (FDIA 2013)

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2013.6

Self URI (journal page): https://ewic.bcs.org/

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Usage Context-based Object Recommendation

Abstract