A Multi-factor Tag-Based Personalized Search

Lecture Notes in Business Information Processing - Web Information Systems and Technologies ◽

10.1007/978-3-642-28082-5_14 ◽

2012 ◽

pp. 192-206

Author(s):

Frederico Durao ◽

Ricardo Lage ◽

Peter Dolog ◽

Nilay Coskun

Keyword(s):

Personalized Search

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PSTIE: Time Information Enhanced Personalized Search

Proceedings of the 29th ACM International Conference on Information & Knowledge Management ◽

10.1145/3340531.3411877 ◽

2020 ◽

Author(s):

Zhengyi Ma ◽

Zhicheng Dou ◽

Guanyue Bian ◽

Ji-Rong Wen

Keyword(s):

Personalized Search ◽

Time Information

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A kind of personalized search method based on the information extraction

2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS) ◽

10.1109/icoacs.2016.7563116 ◽

2016 ◽

Author(s):

Haiyan Chen

Keyword(s):

Information Extraction ◽

Search Method ◽

Personalized Search

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Applying Taxonomic Knowledge and Semantic Collaborative Filtering to Personalized Search: A Bayesian Belief Network Based Approach

2010 12th International Asia-Pacific Web Conference ◽

10.1109/apweb.2010.26 ◽

2010 ◽

Author(s):

Jae-won Lee ◽

Han-joon Kim ◽

Sang-goo Lee

Keyword(s):

Collaborative Filtering ◽

Bayesian Belief Network ◽

Personalized Search ◽

Belief Network

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NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

International Journal of Artificial Intelligence Tools ◽

10.1142/s0218213099000099 ◽

1999 ◽

Vol 08 (02) ◽

pp. 119-135

Author(s):

YAU-HWANG KUO ◽

JANG-PONG HSU ◽

MONG-FONG HORNG

Keyword(s):

Retrieval System ◽

Software Component ◽

Software Components ◽

Personalized Search ◽

Component Retrieval ◽

Reusable Software ◽

Major Mechanism ◽

Fuzzy Models ◽

Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

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