Ah wow, thanks for that list. I will take a look at some of those within the next couple of weeks.

On 11/30/2011 02:12 AM, Christoph Hermann wrote:
Am Dienstag, 29. November 2011, 10:32:39 schrieb Anatoliy Kats:

Hello,

There was a conversation some time ago about incorporating time
dependency for preferences:
http://thread.gmane.org/gmane.comp.apache.mahout.user/2951

Has there been any more discussion about this?  Has anything been
checked into Mahout?  Is anyone working on it?  I might be able to pitch
in.
i did some more work on this some time ago. But i was using data from a course
system which probably differs a lot from usual shop recommendations.

Some of my work is described in this paper:
Time-Based Recommendations for Lecture Materials
In Proceedings of ED-MEDIA 2010 Toronto, Canada, Jul. 2010
http://algo.informatik.uni-freiburg.de/mitarbeiter/hermann/files/aace-ed-
media-2010-word-final.pdf
You should also have a look at these publications:

Iain Campbell and C. J. van Rijsbergen. The ostensive model of developing
information needs. In Peter Ingwersen and Niels Ole Pors, editors, CoLIS’06:
Proceedings of the 6th International Conference on Conceptions of Library and
Information Sciences, Copenhagen, Denmark, pages 251–268. The Royal School of
Librarianship, 10 1996.

Iain Campbell. Supporting information needs by ostensive definition in an
adaptive information space. In Ian Ruthven, editor, MIRO’95: Proceedings of
the Final Workshop on Multimedia Information Retrieval, Glasgow, Scotland, UK,
Workshops in Computing. BCS, 9 1995.

Iain Campbell. Interactive Evaluation of the Ostensive Model Using a New Test
Collection of Images with Multiple Relevance Assessments. Information
Retrieval, 2(1): 85–112, 2000.

Collaborative Filtering with Temporal Dynamics
KDD'09 from Yehuda Koren, Yahoo! Research, Haifa, Israel

Factorizing Personalized Markov Chains for Next-Basket Recommendation
WWW 2010 from Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme

Yi Ding, Xue Li, Maria E. Orlowska (2006): /Recency-based collaborative
filtering/ CRPITS'49: Proceedings of the 49th conference on Database
technologies 2006, ACM Press, pp. 99--107.

Sinan Zhan, Fengrong Gao, Chunxiao Xing, Lizhu Zhou (2006): /Addressing
Concept Drift problem in collaborative filtering systems/ Proceedings of ECAI
2006 Workshop on Recommender Systems, Riva del Garda, Italy.

Yi Ding, Xue Li (2005): Time weight collaborative filtering CIKM '05:
Proceedings of the 14th ACM international conference on Information and
knowledge management, ACM Press, pp. 485--492.

Tiffany Ya Tang, Pinata Winoto, Keith C. C. Chan (2003): /On the Temporal
Analysis for Improved Hybrid Recommendations/ WI '03: Proceedings of the
IEEE/WIC International Conference on Web Intelligence, IEEE Computer Society.

regards
Christoph

Reply via email to