Search (11 results, page 1 of 1)

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Abstract

This review of the literature shows that the number of research projects in information retrieval (IR) that employ qualitative methods is on the rise. Although no agreed-upon definition exists for the concept qualitative research, a number of typical characteristics describe its nature. Qualitative research is noncontrolling, holistic and case oriented, about processes, open and flexible, diverse in methods, humanistic, inductive, and scientific. Although these characteristics make qualitative methods the best for exploring human behavior in depth, and thus of great relevance to IR research, only a few studies present all of them. Doctoral students, librarians, and others who are intersted in qualitative methods have many sources for gaining support and guidance: methodological writings, textbooks and handbooks, and several deprtments at academic institutions

Source

Library and information science research. 15(1993) no.3, S.219-247

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Abstract

Experiments in online searching behaviour have failed to explain the phenomena they were designed to study. An examination of the variables used in research to data finds the most commonly used independent variables are searcher characteristics. Search-process and search outcome variables are the most commonly dependent variables. The search process variables are inadequate because they are situational and subject to constant change. Significantly, these variables measure the cost of a search rather than the intellectual processes involved in answering a request. While these experiments could support the discovery of the 'productive searcher', they cannot uncover searching behaviour. Only in-depth analyses of the search process itself can lead to productive research

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Date

22. 9.1997 19:16:05

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Source

Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon

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Date

22. 9.1997 19:16:05

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Abstract

Two distinct approaches describe the process of indexing. The document-oriented approach claims that indexing summarizes or represents the content of a document. The user-oriented approach requires that indexing reflect the requests for which a document might be relevant. Most indexing, in practice as well as in theory, subscribe to both, but the document-oriented approach has enjoyed most viability. While request-oriented indexing is a user-centered approach, it is very difficult to implement with human, a priori indexing. Automated indexing with its dynamic and flexible nature is most fit to tailor indexing to requirements of individual users and requests, yet most of current research in the area focuses on the development of global methods. Regardless of the method, user-centered indexing cannot be developed before searching behavior is understood better

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Abstract

The model of operationalist and conceptualist searching styles describes searching behavior of experienced online searchers. It is based on the systematic observation of five experienced online searchers doing their regular, job-related searches, and on the analysis of 10 to 13 searches conducted by each of them. Operationalist searchers aim at optimal strategies to achieve precise retrieval; they use a large range of system capabilities in their interaction. They preserve the specific meaning of the request, and the aim of their interactions is an answer set representing the request precisely. Conceptualist searchers analyze a request by seeking to fit it into a faceted structure. They first enter the facet that represents the most important aspect of the request. Their search is then centered on retrieving subsets from this primary set by introducing additional facets. In contrast to the operationalists, they are primarily concerned with recall. During the interaction they preserve the faceted structure, but may change the specific meaning of the request. Although not comprehensive, the model aids in recognizing special and individual characteristics of searching behavior which provide explanations of previous research and guidelines for further investigations into the search process

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Abstract

A review of studies about searching beganiour in image retrieval suggests that retrieval tasks may affect searching behaviour. Retrieval tasks occur along a spectrum starting with the Data Pole, which involves retrieval of images for the information which the image include, and ending with the Objects Pole, which concerns the retrieval of images as objects. Each Pole generates a certain searching behaviour which has characteristics opposing those of the other pole. These characteristics suggest that: relevance feedback may not be useful for tasks on the Object Pole; measuring precision on the Data Pole should be replaced with another measurement of effort and time, while on the Objects Pole, the quality of browsing sets and the precision of the browsing process should be measured instead of precision; and recall is not useful for the Data Pole, and requires much exploration before it can be adopted for the Object Pole. Additional research in searching behaviour and about performance measurement will improve retrieval from image databases

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Abstract

To provide advice for online searching about term selection and query expansion, an intermediary expert system should indicate a terminological knowledge structure. Terminological attributes could provide the foundation of a knowledge base, and knowledge acquisition could rely on knowledge base techniques coupled with statistical techniques. The strategies of expert searchers would provide 1 source of knowledge. The knowledge structure would include 3 constructs for each term: frequency data, a hedge, and a position in a classification scheme. Switching vocabularies could provide a meta-scheme and facilitate the interoperability of databases in similar subjects. To develop such knowledge structure, research should focus on terminological attributes, word and phrase disambiguation, automated text processing, and the role of thesauri and classification schemes in indexing and retrieval. It should develop techniques that combine knowledge base and statistical methods and that consider user preferences

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Abstract

While most research in the area of human-information behavior has focused an a single dimension-either the psychological or the social-this case study demonstrated the importance of a multidimensional approach. The Cognitive Work Analysis framework guided this field study of one event of collaborative information retrieval (CIR) carried out by design engineers at Microsoft, including observations and interviews. Various dimensions explained the motives for this CIR event and the challenges the participants encountered: the cognitive dimension, the specific task and decision, the organization of the teamwork, and the organizational culture. Even though it is difficult at times to separate one dimension from another, and all are interdependent, the analysis uncovered several reasons for design engineers to engage in CIR, such as when they are new to the organization or the team, when the information lends itself to various interpretations, or when most of the needed information is not documented. Similar multidimensional studies will enhance our understanding of human-information behavior.