++apologies for cross-posting++ ------------------------------------------ Call for Presentations - RecSysChallenge 2012 Workshop: The Recommender Systems Challenge
in conjunction with ACM Recommender Systems 2012 Dublin, Ireland, 13 September 2012 http://www.recsyschallenge.com ------------------------------------------ *** Extended abstract (2-4 pages) submission deadline: 20 August 2012 *** *** Accepted presentations to be invited to post-proceedings volume on data-oriented RecSys Challenges *** The Recommender Systems Challenge of ACM RecSys 2012 (RecSysChallenge 2012) will take place as a full-day workshop on Thursday September 13th and will run as an interactive event during which participants will be guided through the whole process of participating in such a data-oriented contest. Taking as examples the datasets that drove the contest of this year's challenge (with data from the Moviepilot and Mendeley platforms), we want to present, discuss and reflect on all the important steps of developing, testing and deploying recommendation algorithms over a real-life dataset. It will start from the way a dataset may be acquired and processed, explore how an evaluation that will produce results comparable and reproducable by others may be performed, and close with a discussion on how novel recommendation approaches can reach final deployment in commercial applications. Confirmed speakers include contributors to recommender systems' frameworks such as Lenskit, Mahout and MyMediaLite; recommender system technology companies such as Gravity R&D; as well as chief technology officers from real-life platforms like the Moviepilot and Mendeley ones. We invite interested researchers and developers to share their experience of working with a dataset in the context of the RecSysChallenge and report on their succesful or unsuccesful efforts. Contributions can be related to any stage of the participation to the challenge. We are particularly interested to hearing from groups that have gained access to this year's datasets from Moviepilots and Mendeley but have faced difficulties in developing a complete and competitive contribution to the RecSysChallenge. Important dates ----- Extended abstract (2-4 pages) submission deadline: 20 August 2012 Presenter notification: 30 August 2012 RecSysChallenge 2012: 13 September 2012 Full paper submission for post-proceedings: 1 November 2012 Author notification for post-proceedings: 1 December 2012 Camera ready submission for post-proceedings: 20 December 2012 Publication of post-proceedings volume: ~spring 2013 Submission ---- Submissions of extended abstracts of proposed presentations that will report on the experience of working with a dataset are welcome. One submission type is accepted: short manuscripts of 2 to 4 pages. Proposed presentations will be evaluated by the Programme Committee for originality, contribution significance, and overall quality. Submissions should be sent as a PDF file through the EasyChair online submission system at https://www.easychair.org/conferences/?conf=recsyschallenge2012 Publication ---- Accepted speakers will be invited to submit a short paper describing their experience and results that is planned to be published online as part of the CEUR Workshop proceedings series. CEUR-WS.org is a recognised ISSN publication series, with ISSN 1613-0073. In addition, presenters will be invited to submit extended versions of their papers to be considered for a post-proceedings volume that will be published after the Workshop. Organisation ---- Context-Aware Movie Recommendation (CAMRa'12) Chairs: - Domonkos Tikk, Gravity R&D (Hungary) - Jannis Hermanns, moviepilot (Germany) - Benjamin Kille, Technische Universität Berlin (Germany) Scientific Paper Recommendation (ScienceRec'12) Chairs: - Katrien Verbert, KU Leuven (Belgium) - Hendrik Drachsler, Open University of the Netherlands (The Netherlands) - Kris Jack, Mendeley (UK) RecSysChallenge 2012 Chairs: - Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation (Greece) - Alan Said, Technische Universität Berlin (Germany) More info --- URL: www.recsyschallenge.com email: [email protected] twitter: www.twitter.com/recsychallenge -- *************************************** M.Sc.(Eng.) Alan Said Competence Center Information Retrieval & Machine Learning Technische Universität Berlin DAI-Labor Sekr. TEL 14 Ernst-Reuter-Platz 7 10587 Berlin / Germany Phone: 0049 - 30 - 314 74072 Fax: 0049 - 30 - 314 74003 E-mail: [email protected] http://www.dai-labor.de/~alan http://www.dai-labor.de ***************************************
