Date of Publication

9-2000

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Databases and Information Systems

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Jose Lloyd D. Espiritu

Defense Panel Chair

Raymund C. Sison

Defense Panel Member

Kai Shan L. Fernandez
Teresita Limoanco

Abstract/Summary

Finding relevant information on the World Wide Web is not a trivial task. This is mainly due to its tremendous growth rate and lack of appropriate tools to aid a user in locating information. This study presents an approach incorporates case-based reasoning (CBR) to present a list of potentially relevant documents to visit based mainly on user and group profiles, and previous occurrences of similar documents extracted from past navigation signatures of users.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

TG03193

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) ; 28 cm.

Keywords

World Wide Web; Information storage and retrieval systems; Database searching; Online bibliographic searching; Information retrieval

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