|Table of Contents|

[1] Yan Duanwu, Cen Yonghua, Zhang Wei, Mao Ping, et al. Ontology-based framework for personalized recommendationin digital libraries [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 385-388. [doi:10.3969/j.issn.1003-7985.2006.03.020]
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Ontology-based framework for personalized recommendationin digital libraries()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 3
Page:
385-388
Research Field:
Computer Science and Engineering
Publishing date:
2006-09-30

Info

Title:
Ontology-based framework for personalized recommendationin digital libraries
Author(s):
Yan Duanwu Cen Yonghua Zhang Wei Mao Ping
Department of Information Management, Nanjing University of Science and Technology, Nanjing 210094, China
Keywords:
digital library personalized recommendation ontology content retrieval user preference
PACS:
TP391.3
DOI:
10.3969/j.issn.1003-7985.2006.03.020
Abstract:
To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query-based relevance measures, semantic user preference representation and automatic update, and personalized result ranking.Both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library.Through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized.Furthermore, ontology-based conceptual vector of user preference can be applied in personalized recommendation feedback.

References:

[1] Casasola E.ProFusion PersonalAssistant:an agent for personalized information filtering on the WWW [D].Lawrence, KS:The University of Kansas, 1998.
[2] Herlocker J L, Konstan J A, Terveen L G, et al.Evaluating collaborative filtering recommender systems [J].ACM Transactions on Information Systems, 2004, 22(1):5-53.
[3] Sadeh T, Walker J.Library portals:toward the semantic web [J].New Library World, 2003, 104(1184, 1185):11-19.
[4] Micarelli A, Sciarrone F.Anatomy and empirical evaluation of an adaptive web-based information filtering system [J].User Modelling and User-Adapted Interaction, 2004, 14(2, 3):159-200.
[5] Guha R V, McCool R, Miller E.Semantic search [A].In:Proc of the 12th Intl World Wide Web Conference [C].Budapest, Hungary, 2003.700-709.
[6] Kiryakov A, Popov B, Terziev I, et al.Semantic annotation, indexing, and retrieval [J].Journal of Web Semantics, 2005, 2(1):47-49.
[7] Vallet D, Fernández M, Castells P.An ontology-based information retrieval model [A].In:The Second European Semantic Web Conference[C].New York:Springer, 2005, 3532:455-470.
[8] Gauch S, Chaffee J, Pretschner A.Ontology-based personalized search and browsing [J].Web Intelligence and Agent Systems, 2003, 1(3, 4):219-234.
[9] Baeza-Yates R, Ribeiro-Neto B.Modern information retrieval [M].Translated by Wang Zhijin.Beijing:China Machine Press, 2005.(in Chinese)
[10] Google personalization[EB/OL].(2004-11-05)[2006-02-10].http://labs.google.com/personalized.

Memo

Memo:
Biography: Yan Duanwu(1976—), male, doctor, lecturer, yanwu-nju@163.com.
Last Update: 2006-09-20