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Full-Text Articles in Library and Information Science

Recommender Systems For Multimedia Libraries: An Evaluation Of Different Models For Datamining Usage Data, Raquel Oliveira Araujo Dec 2004

Recommender Systems For Multimedia Libraries: An Evaluation Of Different Models For Datamining Usage Data, Raquel Oliveira Araujo

Computer Science Theses & Dissertations

Many recommender systems exist today to help users deal with the large growth in the amount of information available in the Internet. Most of these recommender systems use collaborative filtering or content-based techniques to present new material that would be of interest to a user. While these methods have proven to be effective, they have not been designed specifically for multimedia collections. In this study we present a new method to find recommendations that is not dependent on traditional Information Retrieval (IR) methods and compare it to algorithms that do rely on traditional IR methods. We evaluated these algorithms using …


Is Google The Competition?, Carol Tenopir Apr 2004

Is Google The Competition?, Carol Tenopir

School of Information Sciences -- Faculty Publications and Other Works

LIBRARIANS, PUBLISHERS, and aggregators alike often call Google their main competitor. Google, or similar web search engines, is the information finding tool of first choice for many users--far ahead of proprietary online services or libraries and light years ahead of print sources.

The 2004 annual meeting of NFAIS (National Federation of Abstracting and Information Services) asked who would win the "battle for mindshare" in the year 2010. Will libraries, A&I (abstracting and indexing) services, and traditional publishers still exist, or will Google become the only information resource?


A Framework For Creating A Facetted Classification For Genres: Addressing Issues Of Multidimensionality, Kevin Crowston, Barbara H. Kwasnik Jan 2004

A Framework For Creating A Facetted Classification For Genres: Addressing Issues Of Multidimensionality, Kevin Crowston, Barbara H. Kwasnik

School of Information Studies - Faculty Scholarship

People recognize and use document genres as a way of identifying useful information and of participating in mutually understood communicative acts. Crowston and Kwasnik [1] discuss the possibility of improving information access in large digital collections through the identification and use of document genre metadata. They draw on the definition of genre proposed by Orlikowski and Yates [3], who describe genre as "a distinctive type of communicative action, characterized by a socially recognized communicative purpose and common aspects of form" (p. 543). Scholars in fields such as rhetoric and library science have attempted to describe and systematize the notion of …