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Personalized ontology for web search personalization

Published: 18 January 2008 Publication History

Abstract

The highest problem faced by the users of web search today is the quality and the amount of the results they get back. The results often frustrate and consume precious time of the users. Most of the existing search engines perform searches that are keyword-based. They get the search query for the user, search for the presence of search words in the web documents, rank them and display the results to the user. The semantics of the user query and also the intention of the user are not considered. Hence to improve searching in the WWW, a new personalized search index called User Conceptual Index (UCI) has been designed, which provides a conceptual relation between the search keywords and the pages, which matches the user's information need. This paper focuses towards the development of automatically identified user profile called as a personalized ontology and page ontology for the improvement of an existing personalized web search system based on the UCI.

References

[1]
http://www.google.co.in/intl/en/help/features.html#refine
[2]
http://search.yahoo.com/
[3]
Cyrus Shahabi and Yi-Shin Chen, Web Information Personalization: Challenges and Approaches, In proceedings of Third International Workshop on Databases in Networked Information Systems, 2003, 5--15.
[4]
Sendhilkumar S. and Geetha T. V. Web Search using personalized user conceptual index, In proceedings of 2nd Indian International Conference in Artificial Intelligence, 2005, 1719--1728.
[5]
Cyrus Shahabi and Farnoush Banaei-Kashani: A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking, Lecture Notes in Computer Science, Vol. 2356, 2001, 113--144.
[6]
Cooley R., B. Mobasher, and J. Srivastava: Data Preparation for Mining World Wide Web Browsing Patterns. Journal of Knowledge and Information Systems, Springer-Verlag, 1(1), 1999, 5--32.
[7]
Konstan J., B. Miller, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl: Applying Collaborative Filtering to Usenet News, Communications of the ACM (40) 3, 1997, 77--87.
[8]
Pitkow J. E.: In Search of Reliable Usage Data on the WWW, In proceedings of The Sixth International World Wide Web Conference, Santa Clara, California, 1997, 1343--1355.
[9]
S. Sendhilkumar and T. V. Geetha, An Evaluation of Personalized Web Search for an Individual User, In proceedings of the International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07), FL, USA, 2007, 484--490.
[10]
Guarino N., Masolo C., and Vetere G., OntoSeek: Content-Based Access to the Web, IEEE Intelligent Systems 14(3), May/June 1999, 70--80.
[11]
Knight, K. and Luk, S. Building a Large Knowledge Base for Machine Translation, In proceedings of American Association of Artificial Intelligence Conf. (AAAI), 1999, 773--778.
[12]
Labrou, Y. and Finin T. Yahoo! As an Ontology -- Using Yahoo! Categories to Describe Documents, In proceedings of 8th Intl. Conf. on Information and Knowledge Management, 1999, 180--187.
[13]
Yahoo!, http://www.yahoo.com, 2000.
[14]
Chowder, G. and Nicholas, C., Resource Selection in Café: an Architecture for Networked Information retrieval, In proceedings of SIGIR'96 Workshop on Networked Information Retrieval, Zurich, 1996, 1343--1355.
[15]
Chower, G. and Nicholas, C., Meta-Data for Distributed Text Retrieval, In Proceedings of SIGIR'97 Workshop on Networked Information Retrieval, Philadelphia, 1997, 317--332.
[16]
Pearce, C. and Miller, E., The Telltale Dynamic Hypertext Environment: Approaches to Scalability, in Intelligent Hypertext: Advanced Techniques for the World Wide Web, Lecture Notes In Computer Science; Vol. 1326, 1997, 109--130.
[17]
Heflin, J., Hendler, J. and Luke, S. SHOE, A Knowledge Representation Language for internet Applications, Technical Report CS-TR-4078, Institute for Advanced Computer Studies, University of Maryland, College Park, 1999.
[18]
Luke, S., Spector, L., Rager, D. and Hendler, J., Ontology-Based Web Agents, In proceedings of First International Conference on Autonomous Agents (AA'97), 1997, 59--66.
[19]
Boanerges Aleman-Meza, Chrisian Halaschek-Wiener, I. Budak Arpinar, Cartic Ramakrishnan, and Amit. P. Shetch, Ranking Complex Relationships on Semantic Web, IEEE Internet and Computing, Volume 9, issue 3, 2005, 37--44.
[20]
A. Sheth, I. Budak Arpinar and V. Kashyap, Relationships at the heart of the semantic web: Modeling, discovery an exploiting complex semantic relationships, Enhancing the Power of the Internet --- Studies in Fuzziness and Soft Computing, 2003, 63--94.
[21]
K. Anyanwu and A. Shetac, ρ - Queries: Enabling Querying for Semantic Associations on the Semantic web, In proceedings of 12th International World Wide Web conference, ACM press, 2003, 690--699.
[22]
Filippo Menczer, Combining Link and Content Analysis to Estimate Semantic Similarity, In Proceedings of the 13th international World Wide Web conference, 2004, 452--453.
[23]
S. Sendhilkumar and T. V. Geetha, Personalized Web Search Using Enhanced Probabilistic User Conceptual Index, International Journal of Intelligent Systems Vol. 17, No. 1--4, 2007, 199--213.

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  1. Personalized ontology for web search personalization

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    cover image ACM Other conferences
    COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute Conference
    January 2008
    195 pages
    ISBN:9781595939500
    DOI:10.1145/1341771
    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: 18 January 2008

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    Author Tags

    1. architecture
    2. personalization
    3. personalized ontology
    4. user profile
    5. web search

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    COMPUTE08
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    COMPUTE08: ACM Bangalore Chapter COMPUTE 2008
    January 18 - 20, 2008
    Bangalore, India

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    View all
    • (2023)Incorporating Explicit Subtopics in Personalized SearchProceedings of the ACM Web Conference 202310.1145/3543507.3583488(3364-3374)Online publication date: 30-Apr-2023
    • (2020)Personalization in text information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2423471:3(349-369)Online publication date: 28-Jan-2020
    • (2019)Inferring preferences in ontology-based recommender systems using WOWAJournal of Intelligent Information Systems10.1007/s10844-018-0532-552:2(393-423)Online publication date: 1-Apr-2019
    • (2016)Hybrid Recommendation System using Particle Swarm Optimization and User Access Based RankingProceedings of the International Conference on Informatics and Analytics10.1145/2980258.2980405(1-9)Online publication date: 25-Aug-2016
    • (2012)Portable Personality and its Personalization AlgorithmsMedia in the Ubiquitous Era10.4018/978-1-60960-774-6.ch004(66-93)Online publication date: 2012
    • (2012)Community-Aware Resource Profiling for Personalized Search in FolksonomyJournal of Computer Science and Technology10.1007/s11390-012-1247-727:3(599-610)Online publication date: 19-May-2012
    • (2012)Knowledge-driven delivery of home care servicesJournal of Intelligent Information Systems10.1007/s10844-010-0145-038:1(95-130)Online publication date: 1-Feb-2012
    • (2011)Explicit user profiles in web search personalisationProceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD.2011.5960107(416-421)Online publication date: Jun-2011
    • (2011)Fuzzy Ontologies to Represent Background Knowledge: Some Experimental Results on Modelling Climate Change KnowledgeEurofuse 201110.1007/978-3-642-24001-0_18(179-191)Online publication date: 2011
    • (2010)Ontology-Based Information Behaviour to Improve Web SearchFuture Internet10.3390/fi20405332:4(533-558)Online publication date: 18-Oct-2010
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