Establishing User Profiles in the MediaScout Recommender System.

Guy Shani; Lior Rokach; Amnon Meisels; Lihi Naamani; Nischal M. Piratla; David Ben-Shimon

doi:10.1109/CIDM.2007.368912

Establishing User Profiles in the MediaScout Recommender System.

Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

The MediaScout system is envisioned to function as personalized media (audio, video, print) service within mobile phones, online media portals, sling boxes, etc. The MediaScout recommender engine uses a novel stereotype-based recommendation engine. Upon the registration of new users the system must decide how to classify the new users to existing stereotypes. In this paper we present a method to achieve this classification through an anytime, interactive questionnaire, created automatically upon the generation of new stereotypes. A comparative study performed on the IMDB database illustrates the advantages of the new system.

Original language	English
Title of host publication	CIDM
Pages	470-476
Number of pages	7
DOIs	https://doi.org/10.1109/CIDM.2007.368912
State	Published - 2007
Event	1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 - Honolulu, HI, United States Duration: 1 Apr 2007 → 5 Apr 2007

Publication series

Name	Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007

Conference

Conference	1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
Country/Territory	United States
City	Honolulu, HI
Period	1/04/07 → 5/04/07

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10.1109/CIDM.2007.368912

Cite this

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title = "Establishing User Profiles in the MediaScout Recommender System.",

abstract = "The MediaScout system is envisioned to function as personalized media (audio, video, print) service within mobile phones, online media portals, sling boxes, etc. The MediaScout recommender engine uses a novel stereotype-based recommendation engine. Upon the registration of new users the system must decide how to classify the new users to existing stereotypes. In this paper we present a method to achieve this classification through an anytime, interactive questionnaire, created automatically upon the generation of new stereotypes. A comparative study performed on the IMDB database illustrates the advantages of the new system.",

author = "Guy Shani and Lior Rokach and Amnon Meisels and Lihi Naamani and Piratla, {Nischal M.} and David Ben-Shimon",

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year = "2007",

doi = "10.1109/CIDM.2007.368912",

language = "אנגלית",

isbn = "1424407052",

series = "Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007",

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Shani, G, Rokach, L, Meisels, A, Naamani, L, Piratla, NM & Ben-Shimon, D 2007, Establishing User Profiles in the MediaScout Recommender System. in CIDM., 4221336, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, pp. 470-476, 1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, Honolulu, HI, United States, 1/04/07. https://doi.org/10.1109/CIDM.2007.368912

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AU - Ben-Shimon, David

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AB - The MediaScout system is envisioned to function as personalized media (audio, video, print) service within mobile phones, online media portals, sling boxes, etc. The MediaScout recommender engine uses a novel stereotype-based recommendation engine. Upon the registration of new users the system must decide how to classify the new users to existing stereotypes. In this paper we present a method to achieve this classification through an anytime, interactive questionnaire, created automatically upon the generation of new stereotypes. A comparative study performed on the IMDB database illustrates the advantages of the new system.

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ER -

Establishing User Profiles in the MediaScout Recommender System.

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