信息检索-专题定制-三峡大学图书馆

《社会科学文献信息检索概论》出版

无为

来源详细信息

评《社会科学文献信息检索概论》

朱天俊

北京大学信息管理系

来源国家哲学社会科学学术...

详细信息

社会科学文献信息检索概论

马文峰

来源三峡大学图书馆图书详细信息

Information retrieval techniques: The differences in cognitive strategies and search behaviors among graduate students in an academic library

Simon, Charlotte Ellen

Wayne State University

来源详细信息

摘要： Descriptive study questioned why some graduate students appear to have few problems with literature searching, while others find the task difficult and are dissatisfied with their search experiences and the results. By using presearch, search, and postsearch questionnaires, the researcher examined various literature search strategies and behaviors of a cross section of 112 adult learners in graduate school who were the most likely candidates to use the materials and resources of a university's general library. Participants were at least 24 years of age, at all levels of study, and working toward their Masters, Specialist, or doctoral degrees. Students were enrolled in six on-campus courses of several graduate programs at Wayne State University during the Spring, Summer, and Fall, 1994 semesters. Questionnaires addressed students' prior search experiences, search methods, search times, and attitudes, as well as students' use of the available technologies, tools, and resources in order to complete their literature searches. Nine research questions were posed. Results of statistical analyses using Chi Square and ANOVA, as well as Frequency Tables indicated that generally students believed that they were successful in finding relevant materials for their research papers, but no search strategy appeared to be better than another, very few of the library's available resources were used, few students understood what constituted a problem statement or research question, and search skills were poorly developed. Students who had taken any type of formal or informal search skills instruction prior to graduate school believed that it had been quite helpful. Several recommendations were posed, including a joint effort between the Instructional Technology and Library and Information Science programs in the development of search skills courses which would be unique to each of the university's graduate programs.

Information retrieval using statistical classification

Hull, David A.

Stanford University

来源详细信息

摘要： In the classical information retrieval (IR) problem, the system must find all documents in a collection that are related to a topic defined by a user's query. A common approach to the IR problem is to represent documents and the query as vectors of term frequencies and rank the documents in the collection according to their inner product similarity with respect to the query. When a sample of evaluated documents is available in addition to the query (often called routing), the problem can be attacked using techniques based on statistical classification. In order for statistical classification to be a feasible approach, the system must produce a relatively small set of high quality feature variables. It turns out that individual words, due to their quantity and ambiguity, are not optimal features. Previous work has focused on a technique known as Latent Semantic Indexing (LSI), which applies the singular value decomposition to a term-document matrix and represents terms and documents by linear combinations of orthogonal indexing variables. The research presented in this thesis accomplishes the following goals. It provides a thorough discussion of evaluation in information retrieval experiments. It introduces the concept of a local LSI decomposition. LSI is used separately on a set of documents in the local region surrounding each query, creating query-specific feature variables and making the LSI technique feasible for very large document collections. It applies the classification technique known as Discriminant Analysis to the routing problem and presents experimental results on two text collections. It demonstrates that using a local LSI decomposition improves retrieval performance and represents documents using a relatively small number of feature variables. It finds that Discriminant Analysis sometimes leads to additional performance gains but that more research is needed to determine the optimal size and shape of the local region.

文献信息检索

彭展等

来源详细信息