Retrieval of collaborative filtering nearest neighbors in a content-addressable space

Shlomo Berkovsky, Yaniv Eytani, Larry Manevitz

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Collaborative Filtering (CF) is considered one of the popular and most widely used recommendation techniques. It is aimed at generating personalized item recommendations for the users based on the assumption that similar users have similar preferences and like similar items. One of the major drawbacks of the CF is its limited scalability, as the CF computational effort increases linearly with the number of users and items. This work presents a novel variant of the CF, employed over a content-addressable space. This heuristically decreases the computational effort required by the CF by restricting the nearest neighbors search applied by the CF to a set potentially highly similar users. Experimental evaluation demonstrates that the proposed approach is capable of generating accurate recommendations, while significantly improving the performance in comparison with the traditional implementation of the CF.
Original languageEnglish
Title of host publicationEnterprise Information Systems
Subtitle of host publication8th International Conference, ICEIS 2006. Revised Selected Papers
EditorsYannis Manolopoulos, Joaquim Filipe, Panos Constantopoulos, José Cordeiro
PublisherSpringer, Springer Nature
Pages159-178
Number of pages20
ISBN (Electronic)9783540775812
ISBN (Print)9783540775805
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event8th International Conference on Enterprise Information Systems, ICEIS 2006 - Paphos, Cyprus
Duration: 23 May 200627 May 2006

Conference

Conference8th International Conference on Enterprise Information Systems, ICEIS 2006
CountryCyprus
CityPaphos
Period23/05/0627/05/06

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    Berkovsky, S., Eytani, Y., & Manevitz, L. (2006). Retrieval of collaborative filtering nearest neighbors in a content-addressable space. In Y. Manolopoulos, J. Filipe, P. Constantopoulos, & J. Cordeiro (Eds.), Enterprise Information Systems: 8th International Conference, ICEIS 2006. Revised Selected Papers (pp. 159-178). Springer, Springer Nature. https://doi.org/10.1007/978-3-540-77581-2_11