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The Biglan model of disciplinary differences is used to examine the information-seeking behavior patterns of 5,175 undergraduates, answering questions on the College Student Experiences Questionnaire (CSEQ). It is shown that the Biglan model has implications involving redesign of academic library service and information science research.

An evaluation of the Kea automatic keyphrase extraction algorithm is discussed. Results indicate that Kea extracts good keyphrases.

Results of a survey of reference librarians in public and academic libraries in the United States are reported. The librarians were asked about their experiences with and attitudes towards the use of digital and networked technologies and resources.

Probabilistic models are used to analyze patterns of use of functions and features of Web-based library catalogs. The system examined the study is the Web version of the MELVYL catalog of the University of California.

A number of methods are proposed for supporting the use of image primitives to support image classification exigencies. The heightened employment of image indexing is viewed as a key to the improvement of content-based feature extraction.

The possibility of automatically determining the nature of user patterns in the absence of demographic data is explored. Two independent samples of user sessions based on user logs from the University of California's MELVYL online library catalog system are utilized.

A study of 905,970 online sessions employing the University of California's Melvyl online catalog was conducted, using a stratified random sampling technique involving 10 strata. The concerns were to establish a working definition of relevance, identify user behaviors, develop a predictive methodology, and empirically test the method. The findings indicate that 17.85% of the sessions were relevant to the purposes of the searcher.

A study was conducted to determine whether faculty at the top ten North American library and information science (LIS) programs have a disproportionate presence in the premier journals of the discipline. The Author Affiliation Index (AAI) is used. Findings indicate that LIS may be too small and too interdisciplinary for the AAI to provide reliable results.

A study was conducted to examine the relationship between Library and Information Science (LIS) and Management Information Systems (MIS). Bibliometric tools were used to analyze this relationship. Findings indicate that the MIS impact on LIS is greater than the reverse, and that there is a growing trend for shared impact between the two fields.

The frequency of appearance and co-occurrence of the descriptors assigned to 11,273 works in the Library and Information Services Abstracts database are studied to identify main research fields in library science and documentation. Three major core research areas and 12 research areas with specific development are identified.