web T2 - Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 PB - C1 - PY - 2014/ CY - VL - IS - SP - EP - UR - http://doi.acm.org/10.1145/2645710.2645786 DO - 10.1145/2645710.2645786 KW - workshop KW - recommender KW - social KW - 2014 KW - myown KW - introduction L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Jannach, Dietmar AU - Freyne, Jill AU - Geyer, Werner AU - Guy, Ido AU - Hotho, Andreas AU - Mobasher, Bamshad A2 - Kobsa, Alfred A2 - Zhou, Michelle X. A2 - Ester, Martin A2 - Koren, Yehuda T1 - The sixth ACM RecSys workshop on recommender systems and the social
web T2 - Eighth ACM Conference on Recommender Systems, RecSys '14, Foster
City, Silicon Valley, CA, USA - October 06 - 10, 2014 PB - ACM C1 - PY - 2014/ CY - VL - IS - SP - EP - UR - http://doi.acm.org/10.1145/2645710.2645786 DO - 10.1145/2645710.2645786 KW - imported L1 - SN - 978-1-4503-2668-1 N1 - N1 - AB - ER - TY - CONF AU - Mobasher, Bamshad AU - Jannach, Dietmar AU - Geyer, Werner AU - Hotho, Andreas A2 - Cunningham, Padraig A2 - Hurley, Neil J. A2 - Guy, Ido A2 - Anand, Sarabjot Singh T1 - 4th ACM RecSys workshop on recommender systems and the social web. T2 - RecSys PB - ACM C1 - PY - 2012/ CY - VL - IS - SP - 345 EP - 346 UR - http://dblp.uni-trier.de/db/conf/recsys/recsys2012.html#MobasherJGH12 DO - KW - workshop KW - recommender KW - myown KW - 2012 L1 - SN - 978-1-4503-1270-7 N1 - N1 - AB - ER - TY - GEN AU - Mobasher, Bamshad AU - Jannach, Dietmar AU - Geyer, Werner AU - Hotho, Andreas A2 - T1 - RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web JO - PB - ACM C1 - New York, NY, USA PY - 2012/ VL - IS - SP - EP - UR - DO - KW - workshop KW - rsweb KW - recommender KW - acm KW - social KW - myown KW - 2012 KW - web L1 - N1 - Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web N1 - AB - The new opportunities for applying recommendation techniques within Social Web platforms and applications as well as the various new sources of information which have become available in the Web 2.0 and can be incorporated in future recommender applications are a strong driving factor in current recommender system research for various reasons:
(1) Social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation.
(2) New application areas for recommender systems emerge with the popularity of the Social Web. Recommenders cannot only be used to sort and filter Web 2.0 and social network information, they can also support users in the information sharing process, e.g., by recommending suitable tags during folksonomy development.
(3) Recommender technology can assist Social Web systems through increasing adoption and participation and sustaining membership. Through targeted and timely intervention which stimulates traffic and interaction, recommender technology can play its role in sustaining the success of the Social Web.
(4) The Social Web also presents new challenges for recommender systems, such as the complicated nature of human-to-human interaction which comes into play when recommending people and can require more interactive and richer recommender systems user interfaces.
The technical papers appearing in these proceedings aim to explore and understand challenges and new opportunities for recommender systems in the Social Web and were selected in a formal review process by an international program committee.
Overall, we received 13 paper submissions from 12 different countries, out of which 7 long papers and 1 short paper were selected for presentation and inclusion in the proceedings. The submitted papers addressed a variety of topics related to Social Web recommender systems from the use of microblogging data for personalization over new tag recommendation approaches to social media-based personalization of news. ER - TY - BOOK AU - Jannach, Dietmar A2 - T1 - Recommender systems : an introduction PB - Cambridge University Press C1 - New York PY - 2011/ VL - IS - SP - EP - UR - http://www.amazon.de/Recommender-Systems-Introduction-Dietmar-Jannach/dp/0521493366/ref=sr_1_1?ie=UTF8&qid=1356099943&sr=8-1 DO - KW - recommender KW - recsys KW - introduction L1 - SN - 9780521493369 0521493366 N1 - Recommender Systems: An Introduction: Amazon.de: Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedich: Englische Bücher N1 - AB - ER - TY - CHAP AU - Kubatz, Marius AU - Gedikli, Fatih AU - Jannach, Dietmar A2 - Huemer, Christian A2 - Setzer, Thomas T1 - LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations T2 - E-Commerce and Web Technologies PB - Springer Berlin Heidelberg C1 - PY - 2011/ VL - 85 IS - SP - 258 EP - 269 UR - http://dx.doi.org/10.1007/978-3-642-23014-1_22 DO - 10.1007/978-3-642-23014-1_22 KW - localrank KW - recommender KW - tag KW - leavepostout KW - folkrank L1 - SN - 978-3-642-23013-4 N1 - LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations - Springer N1 - AB - On many modern Web platforms users can annotate the available online resources with freely-chosen tags. This Social Tagging data can then be used for information organization or retrieval purposes. Tag recommenders in that context are designed to help the online user in the tagging process and suggest appropriate tags for resources with the purpose to increase the tagging quality. In recent years, different algorithms have been proposed to generate tag recommendations given the ternary relationships between users, resources, and tags. Many of these algorithms however suffer from scalability and performance problems, including the popular ER - TY - JOUR AU - Gedikli, Fatih AU - Jannach, Dietmar T1 - Rating items by rating tags JO - Systems and the Social Web at ACM PY - 2010/ VL - IS - SP - EP - UR - DO - KW - tags KW - item KW - recommender KW - rating L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Felfernig, Alexander AU - Friedrich, Gerhard AU - Jannach, Dietmar AU - Zanker, Markus A2 - T1 - Semantic Configuration Web Services in the CAWICOMS Project T2 - teDBLP:conf/semweb/2002 PB - C1 - PY - 2002/ CY - VL - IS - SP - 192 EP - 205 UR - DO - KW - imported L1 - SN - 3-540-43760-6 N1 - N1 - AB - ER -