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Evaluating peer-to-peer recommender systems that exploit spontaneous affinities

Published: 11 March 2007 Publication History

Abstract

The validation of a recommender system is always a quite hazardous task, because of the difficulty of modeling the tastes of a given user. Novel (decentralized) recommender systems are proposed and evaluated by way of well known logs of user profiles and buddy tables, that contain lists of items with feedback ratings assigned by a given set of users. These information are cross linked, and the precision of the recommendation is compared with other well known (centralized) systems. This evaluation approach cannot be applied in the actual peer-to-peer domain: it is difficult, if not impossible, to build and maintain user profiles, and users are not required to give feedbacks to a data collector entity. Moreover, objects are poorly or not structured, and meta-information, when present, cannot be trusted because of fake files and incomplete item descriptions.
In this paper, we present an evaluation process based on a 10-fold cross validation task, that we applied to estimate accuracy of the suggestions of a P2P recommender system recently proposed in [2]. The complexity of the evaluation of this peculiar recommender is increased because of "spontaneous affinities" between users that are used instead of classical knowledge representation based strategies.

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Cited By

View all
  • (2019)Design of a P2P content recommendation system using affinity networksComputer Communications10.1016/j.comcom.2012.07.01836:1(90-104)Online publication date: 5-Jan-2019
  • (2010)A new “Ring of Gyges” and the meaning of invisibility in the information revolutionJournal of Information, Communication and Ethics in Society10.1108/147799610110933548:4(364-376)Online publication date: 9-Nov-2010
  • (2009)A peer-to-peer recommender system based on spontaneous affinitiesACM Transactions on Internet Technology10.1145/1462159.14621639:1(1-34)Online publication date: 23-Feb-2009
  • Show More Cited By

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cover image ACM Conferences
SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
March 2007
1688 pages
ISBN:1595934804
DOI:10.1145/1244002
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 11 March 2007

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Author Tags

  1. complex and social networks
  2. file sharing systems
  3. peer-to-peer
  4. recommender system

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Cited By

View all
  • (2019)Design of a P2P content recommendation system using affinity networksComputer Communications10.1016/j.comcom.2012.07.01836:1(90-104)Online publication date: 5-Jan-2019
  • (2010)A new “Ring of Gyges” and the meaning of invisibility in the information revolutionJournal of Information, Communication and Ethics in Society10.1108/147799610110933548:4(364-376)Online publication date: 9-Nov-2010
  • (2009)A peer-to-peer recommender system based on spontaneous affinitiesACM Transactions on Internet Technology10.1145/1462159.14621639:1(1-34)Online publication date: 23-Feb-2009
  • (2009)A Peer-to-Peer Recommender System with Privacy Constraints2009 International Conference on Complex, Intelligent and Software Intensive Systems10.1109/CISIS.2009.32(409-414)Online publication date: Mar-2009
  • (2008)MobHinterProceedings of the 2008 ACM conference on Recommender systems10.1145/1454008.1454014(27-34)Online publication date: 23-Oct-2008
  • (2007)P2P systems in legal networksProceedings of the 11th international conference on Artificial intelligence and law10.1145/1276318.1276374(287-288)Online publication date: 4-Jun-2007

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