Search (132 results, page 1 of 7)

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  1. Pejtersen, A.M.: Cognitive engineering in information retrieval domains : merging paradigms? (1995) 0.04
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    Source
    Bibliothek: Forschung und Praxis. 19(1995) H.1, 64-77
  2. Mohan, K.C.: Boolean and nearest neighbour text searching in a multi-strategy retrieval system (1996) 0.02
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    Abstract
    Information retrieval systems based on the Boolean model have been popular for some time. A major challenge to this model has come from the development of approaches based on the vector processing model. Both search strategies are explained and evaluated. Describes an experimental study in an opertational environment to compare the retrieval effectiveness of Boolean and nearest neighbour searching in a multi-strategy retrieval system based on query characteristic variables. Considers the significance of the results of the study
    Source
    Library science with a slant to documentation and information studies. 33(1996) no.1, S.29-38
  3. Makulowich, J.S.: 10 tips on managing your Internet searching (1995) 0.02
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    Abstract
    Offers 10 tips for finding information on the Internet. Define the area and level of expertise. Require end users to complete a request form defining the query. Categorize the Internat in lay terms for casual users. Establich a realistic time for retrieving results. Adopt a disciplined, systematic approach to the search. Understand the operating platform and the major tools available. Maintain a file of important services and addresses and users. Develop bookmarks and home pages. Learn shortcuts. Participate in the Internet Hunt (a monthly series of questions that allows searchers to practice and perfect search skills)
    Date
    14.12.1995 20:51:29
    Theme
    Internet
  4. Ford, N.; Miller, D.; Moss, N.: ¬The role of individual differences in Internet searching : an empirical study (2001) 0.02
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    Abstract
    This article reports the results of a study of the role of individual differences in Internet searching. The dimensions of individual differences forming the focus of the research consisted of: cognitive styles; levels of prior experience; Internet perceptions; study approaches; age; and gender. Sixty-nine Masters students searched for information on a prescribed topic using the AItaVista search engine. Results were assessed using simple binary relevance judgements. Factor analysis and multiple regression revealed interesting differences, retrieval effectiveness being linked to: male gender; low cognitive complexity; an imager (as opposed to verbalizer) cognitive style; and a number of Internet perceptions and study approaches grouped here as indicating low self-efficacy. The implications of these findings for system development and for future research are discussed.
  5. Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.02
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    Abstract
    The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.
    Date
    5. 6.2006 11:22:23
  6. Shah, G.A.; Desai, A.T.; Nagarkar, S.A.: Search strategies : their importance in IR process (1992) 0.02
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    Abstract
    Discusses how users' questions should be analysed and appropriate search strategies should be formulated with a view to enhancing the capabilities of a system in retrieval of the most relevant information with a high degree of precision
    Source
    Proceedings of the 15th National IASLIC Conference, Annamalainagar, Tamil Nadu, India, 26-29 December 1992. Ed. by. A. Chatterjee et al
  7. Drabenstott, K.M.: Web search strategies (2000) 0.02
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    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Date
    22. 9.1997 19:16:05
    Theme
    Internet
  8. Cothey, V.: ¬A longitudinal study of World Wide Web users' information-searching behavior (2002) 0.02
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    Abstract
    A study of the "real world" Web information searching behavior of 206 college students over a 10-month period showed that, contrary to expectations, the users adopted a more passive or browsing approach to Web information searching and became more eclectic in their selection of Web hosts as they gained experience. The study used a longitudinal transaction log analysis of the URLs accessed during 5,431 user days of Web information searching to detect changes in information searching behavior associated with increased experience of using the Web. The findings have implications for the design of future Web information retrieval tools
    Theme
    Internet
  9. Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007) 0.01
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    Abstract
    Human information-seeking behavior is a topic of increasing interest in many disciplines. However, the dynamics of this behavior remain elusive. The extant research has taken cognitive and behavioral perspectives to study information-seeking behavior, and observed its dynamics in multiple sessions. However, the underlying mechanisms that govern the dynamics of information-seeking behavior are not well understood. With a focus on interactive information retrieval behavior, this study proposes an integrated framework based on activity theory. This framework is not only comprehensive and integrated, but also offers an explanation of the mechanisms governing the interaction between users' cognitive states and their manifested behavior when using an information retrieval system. A set of four propositions are advanced to describe the mechanisms. The implications are discussed.
    Date
    27. 5.2007 13:55:22
  10. Morse, P.M.: Browsing and search theory (1973) 0.01
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    Date
    22. 5.2005 19:52:29
  11. Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998) 0.01
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    Date
    25.12.1998 19:22:31
    Footnote
    Part of an issue devoted to electronic resources and their use in libraries, from the viewpoint of reference services, with an emphasis on the Internet and Geographic Information Systems
    Theme
    Internet
  12. Lucas, W.; Topi, H.: Form and function : the impact of query term and operator usage on Web search results (2002) 0.01
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    Abstract
    Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage
    Theme
    Internet
  13. Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002) 0.01
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    Abstract
    Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.
    Theme
    Internet
  14. Barrio, P.; Gravano, L.: Sampling strategies for information extraction over the deep web (2017) 0.01
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    Abstract
    Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections-and in which order-to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction.
    Theme
    Internet
  15. Ardito, S.C.: ¬The Internet : beginning or end of organized information? (1998) 0.01
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    Abstract
    Many information professionals still seem loathe to conduct searches on the Internet, preferring instead to continue to use commercial, proprietary systems. Compares the characteristics and advantages of search strategies for traditional databases with those for the Internet. Discusses future developments in Internet search engines and concludes that the merger of commercial database expertise with Internet technology and accessibility will enrich and simplify the end user's expectation
    Theme
    Internet
  16. Slone, D.J.: ¬The influence of mental models and goals on search patterns during Web interaction (2002) 0.01
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    Abstract
    Thirty-one patrons, who were selected by Slone to provide a range of age and experience, agreed when approached while using the catalog of the Wake County library system to try searching via the Internet. Fifteen searched the Wake County online catalog in this manner and 16 searched the World Wide Web, including that catalog. They were subjected to brief pre-structured taped interviews before and after their searches and observed during the searching process resulting in a log of behaviors, comments, pages accessed, and time spent. Data were analyzed across participants and categories. Web searches were characterized as linking, URL, search engine, within a site domain, and searching a web catalog; and participants by the number of these techniques used. Four used only one, 13 used two, 11 used three, two used four, and one all five. Participant experience was characterized as never used, used search engines, browsing experience, email experience, URL experience, catalog experience, and finally chat room/newsgroup experience. Sixteen percent of the participants had never used the Internet, 71% had used search engines, 65% had browsed, 58% had used email, 39% had used URLs, 39% had used online catalogs, and 32% had used chat rooms. The catalog was normally consulted before the web, where both were used, and experience with an online catalog assists in web use. Scrolling was found to be unpopular and practiced halfheartedly.
    Date
    21. 7.2006 11:26:29
  17. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.01
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    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  18. Snow, B.: ¬The Internet's hidden content and how to find it (2000) 0.01
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    Footnote
    Vgl. auch: Notess, G.R.: Searching the hidden Internet. in: Database 20(1997) no.3, S.37-40.
    Theme
    Internet
  19. Kosmin, L.J.: Teaching Internet end-users effective search strategies across diversified databases (1992) 0.01
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    Abstract
    Numerous computer networks worldwide implement the same suite of Transmission Control Protocol / Internet Protocol (TCP/IP) communications rules. These facilitate electronic interactions among remotely situated users. presents a model curriculum designed to introduce newcomers to the Internet in science and technlogy oriented organizations
    Theme
    Internet
  20. Colaric, S.M.: Instruction for Web searching : An empirical study (2003) 0.01
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    Theme
    Internet

Years