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Personalizing Search in Digital Libraries

By Van Den Herik, H. J., Dr.

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Book Id: WPLBN0000149764
Format Type: PDF eBook
File Size: 0.9 MB
Reproduction Date: 2005
Full Text

Title: Personalizing Search in Digital Libraries  
Author: Van Den Herik, H. J., Dr.
Volume:
Language: English
Subject: Literature, Literature & thought, Writing.
Collections: Classic Literature Collection
Historic
Publication Date:
Publisher: World Ebook Library

Citation

APA MLA Chicago

J. Van Den Heri, D. H. (n.d.). Personalizing Search in Digital Libraries. Retrieved from http://www.ebooklibrary.org/


Excerpt
Phenomenons like the WorldWideWeb and Usenet have given us access to a gigantic and growing amount of information. The amount of information available to us has, already, grown too large to retain an oversight of it. This creates a problem: if we are not aware of what knowledge we have access to, then how do we make use of that knowledge, how do we find the proverbial needle in the haystack? A solution is to create tools that help us find the information we need, so that we do not need to search that entire haystack manually. In section 1.1 the general problem of personalizing a search is introduced. Section 1.2 then presents the context in which we study the general problem introduced in section 1.1. Next, in section 1.3, the specific problem statement for the thesis is put forth, and section 1.4 concludes this chapter by stating the outline for the rest of the thesis.

Table of Contents
Table of contents 1 Research description.............................................................................................................................5 1.1 The problem at hand......................................................................................................................5 1.2 Context of the thesis......................................................................................................................6 1.3 Problem statement.........................................................................................................................6 1.4 Thesis outline................................................................................................................................6 2 Personalizing the search........................................................................................................................7 2.1 User profiling................................................................................................................................7 2.1.1 Contents of the user profile...................................................................................................8 2.1.2 Methods to obtain information..............................................................................................9 2.1.3 User profile formats.............................................................................................................15 2.2 Documents characterization........................................................................................................17 2.2.1 Metadata..............................................................................................................................17 2.2.2 The Resource Description Framework (RDF)...................................................................17 2.2.3 The Dublin Core..................................................................................................................19 2.2.4 Generating metadata............................................................................................................21 2.3 Matching user and document......................................................................................................21 2.3.1 Considerations.....................................................................................................................21 2.3.2 Collaborative filtering..........................................................................................................23 2.3.3 Content-based filtering........................................................................................................26 2.3.4 Demographic filtering..........................................................................................................26 2.3.5 Economic filtering...............................................................................................................27 2.4 Combining subproblem solutions...............................................................................................27 2.5 Chapter conclusions....................................................................................................................30 3 Evaluating personalized search...........................................................................................................31 3.1 Traditional measures from IR.....................................................................................................31 3.2 Rank-ordered-list measures.........................................................................................................31 3.3 Mean average error......................................................................................................................33 3.4 Chapter conclusions........................................................................................................

 

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