Search (18 results, page 1 of 1)

0.03383554 = product of:
  0.05075331 = sum of:
    0.038766023 = weight(_text_:development in 3454) [ClassicSimilarity], result of:
      0.038766023 = score(doc=3454,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.242113 = fieldWeight in 3454, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.046875 = fieldNorm(doc=3454)
    0.011987286 = product of:
      0.035961855 = sum of:
        0.035961855 = weight(_text_:29 in 3454) [ClassicSimilarity], result of:
          0.035961855 = score(doc=3454,freq=2.0), product of:
            0.1542157 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04384008 = queryNorm
            0.23319192 = fieldWeight in 3454, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=3454)
      0.33333334 = coord(1/3)
  0.6666667 = coord(2/3)

Abstract

Major Web search engines, such as AItaVista, are essential tools in the quest to locate online information. This article reports research that used transaction log analysis to examine the characteristics and changes in AItaVista Web searching that occurred from 1998 to 2002. The research questions we examined are (1) What are the changes in AItaVista Web searching from 1998 to 2002? (2) What are the current characteristics of AItaVista searching, including the duration and frequency of search sessions? (3) What changes in the information needs of AItaVista users occurred between 1998 and 2002? The results of our research show (1) a move toward more interactivity with increases in session and query length, (2) with 70% of session durations at 5 minutes or less, the frequency of interaction is increasing, but it is happening very quickly, and (3) a broadening range of Web searchers' information needs, with the most frequent terms accounting for less than 1% of total term usage. We discuss the implications of these findings for the development of Web search engines.

Date

3. 6.2005 19:29:59

0.025844015 = product of:
  0.077532046 = sum of:
    0.077532046 = weight(_text_:development in 4221) [ClassicSimilarity], result of:
      0.077532046 = score(doc=4221,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.484226 = fieldWeight in 4221, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.09375 = fieldNorm(doc=4221)
  0.33333334 = coord(1/3)

Abstract

Describes various aspects of the issue of sustainable development and the possible implications and impacts of an alternative future of modernity and global industrialization on the future of information science

0.0152287325 = product of:
  0.045686197 = sum of:
    0.045686197 = weight(_text_:development in 282) [ClassicSimilarity], result of:
      0.045686197 = score(doc=282,freq=4.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.2853329 = fieldWeight in 282, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=282)
  0.33333334 = coord(1/3)

Abstract

This paper reports findings from Phase I of the Wynnewood Study - a major project investigating the information-seeking and information needs of lowincome African-American households in the Wynnewood Project in Dallas, Texas. The Parks at Wynnewood is a residential housing development at which the University of North Texas (UNT) is currently conducting the Healthy Neighbourhoods urban revitalization project. This study is also part of the second phase of a major UNT project that is investigating the community service needs of the Wynnewood residents. During this needs assessment all Wynnewood households were interviewed using an extensive twelve-page questionnaire, including a number of questions on their information needs and information-seeking behaviour. The results of the survey provide data bearing on the development of an information resource center and an information literacy programme for Wynnewood community residents. A model of resident's information environment is presented. The study of information-seeking and information needs, also known as nonwork information-seeking or citizen information-seeking, is an important and emerging area of interdisciplinary information science research. More specifically, this study is providing important data on the everyday life information needs and seeking behaviours of low-income African Americans households.

0.0152287325 = product of:
  0.045686197 = sum of:
    0.045686197 = weight(_text_:development in 300) [ClassicSimilarity], result of:
      0.045686197 = score(doc=300,freq=4.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.2853329 = fieldWeight in 300, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=300)
  0.33333334 = coord(1/3)

Abstract

This paper presents the initial stages of the development of a three-dimensional model as a theoretical framework for conceptualizing and exploring interactive information retrieval (IR) with an information seeking context. The model, displayed in Figure 1, includes a Plane of Judgment within a Plane of Interaction within a Plane of Time. The Plane of Judgment includes levels and regions of relevance judgments, and other user judgments during interactive IR, e.g., magnitude or strategy feedback, tactics, search strategies, or search terms. The Plane of Judgment exists within a Plane of Interaction. The Plane of Interaction consists of interactive IR models, including Ingwersen (1992, 1996), Belkin, Cool, Stein and Theil (1995), and Saracevic (1996b, 1997). The Plane of Interaction includes movement or shifts within interactions or search episodes, e.g., tactics, information problem, strategies, terms, feedback, goal states, or uncertainty. IR interactions that occur within a Plane of Interaction exist within a Plane of Time. The Plane of Time includes users' information seeking stages, represented in the model by Kuhlthau's Information Search Process Model (1993) and users' successive searches over time related to the same or evolving information problem (Spink, 1996). The three-dimensional model is a framework for the development of theoretical and empirical research to: 1. Integrate interactive IR research within information-seeking context 2. Explore users' interactive IR episodes within their changing information-seeking contexts 3. Examine relevance judgments within users' information seeking processes 4. Broaden relevance research to include the concurrent exploration of relevance judgment level, region and time

0.0152287325 = product of:
  0.045686197 = sum of:
    0.045686197 = weight(_text_:development in 4624) [ClassicSimilarity], result of:
      0.045686197 = score(doc=4624,freq=4.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.2853329 = fieldWeight in 4624, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4624)
  0.33333334 = coord(1/3)

Abstract

Limited research has investigated the role of multitasking, cognitive coordination, and cognitive shifts during web search. Understanding these three behaviors is crucial to web search model development. This study aims to explore characteristics of multitasking behavior, types of cognitive shifts, and levels of cognitive coordination as well as the relationship between them during web search. Data collection included pre- and postquestionnaires, think-aloud protocols, web search logs, observations, and interviews with 42 graduate students who conducted 315 web search sessions with 221 information problems. Results show that web search is a dynamic interaction including the ordering of multiple information problems and the generation of evolving information problems, including task switching, multitasking, explicit task and implicit mental coordination, and cognitive shifting. Findings show that explicit task-level coordination is closely linked to multitasking, and implicit cognitive-level coordination is related to the task-coordination process; including information problem development and task switching. Coordination mechanisms directly result in cognitive state shifts including strategy, evaluation, and view states that affect users' holistic shifts in information problem understanding and knowledge contribution. A web search model integrating multitasking, cognitive coordination, and cognitive shifts (MCC model) is presented. Implications and further research also are discussed.

0.015075676 = product of:
  0.04522703 = sum of:
    0.04522703 = weight(_text_:development in 204) [ClassicSimilarity], result of:
      0.04522703 = score(doc=204,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.28246516 = fieldWeight in 204, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0546875 = fieldNorm(doc=204)
  0.33333334 = coord(1/3)

Abstract

Feedback has been a fundamental element in many cybernetic and social models. Information science is also exploring feedback as a key concept within information seeking and retrieving models. This article first presents an overview of the feedback concepts within the frameworks and models of cybernetics and the social sciences. The article then proposes that an enhanced feedback concept is developing within the framework and models of information seeking and retrieving, and the development of a cognitive viewpoint of information, illuminating the information seeking and retrieving context. The three feedback frameworks and concepts (cybernetic, social, and interaction) are then compared based on their conceptualization of the feedback loop and notion of information

0.010768341 = product of:
  0.03230502 = sum of:
    0.03230502 = weight(_text_:development in 5592) [ClassicSimilarity], result of:
      0.03230502 = score(doc=5592,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.20176083 = fieldWeight in 5592, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5592)
  0.33333334 = coord(1/3)

Abstract

Purpose - Since the beginning of human existence, humankind has sought, organized and used information as it evolved patterns and practices of human information behaviors. However, the field of human information behavior (HIB) has not heretofore pursued an evolutionary understanding of information behavior. The goal of this exploratory study is to provide insight about the information behavior of various individuals from the past to begin the development of an evolutionary perspective for our understanding of HIB. Design/methodology/approach - This paper presents findings from a qualitative analysis of the autobiographies and personal writings of several historical figures, including Napoleon Bonaparte, Charles Darwin, Giacomo Casanova and others. Findings - Analysis of their writings shows that these persons of the past articulated aspects of their HIB's, including information seeking, information organization and information use, providing tangible insights into their information-related thoughts and actions. Practical implications - This paper has implications for expanding the nature of our evolutionary understanding of information behavior and provides a broader context for the HIB research field. Originality/value - This the first paper in the information science field of HIB to study the information behavior of historical figures and begin to develop an evolutionary framework for HIB research.

0.010768341 = product of:
  0.03230502 = sum of:
    0.03230502 = weight(_text_:development in 968) [ClassicSimilarity], result of:
      0.03230502 = score(doc=968,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.20176083 = fieldWeight in 968, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=968)
  0.33333334 = coord(1/3)

Abstract

The Web and especially major Web search engines are essential tools in the quest to locate online information for many people. This paper reports results from research that examines characteristics and changes in Web searching from nine studies of five Web search engines based in the US and Europe. We compare interactions occurring between users and Web search engines from the perspectives of session length, query length, query complexity, and content viewed among the Web search engines. The results of our research shows (1) users are viewing fewer result pages, (2) searchers on US-based Web search engines use more query operators than searchers on European-based search engines, (3) there are statistically significant differences in the use of Boolean operators and result pages viewed, and (4) one cannot necessary apply results from studies of one particular Web search engine to another Web search engine. The wide spread use of Web search engines, employment of simple queries, and decreased viewing of result pages may have resulted from algorithmic enhancements by Web search engine companies. We discuss the implications of the findings for the development of Web search engines and design of online content.

0.010768341 = product of:
  0.03230502 = sum of:
    0.03230502 = weight(_text_:development in 3090) [ClassicSimilarity], result of:
      0.03230502 = score(doc=3090,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.20176083 = fieldWeight in 3090, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3090)
  0.33333334 = coord(1/3)

Abstract

Searching for multimedia is an important activity for users of Web search engines. Studying user's interactions with Web search engine multimedia buttons, including image, audio, and video, is important for the development of multimedia Web search systems. This article provides results from a Weblog analysis study of multimedia Web searching by Dogpile users in 2006. The study analyzes the (a) duration, size, and structure of Web search queries and sessions; (b) user demographics; (c) most popular multimedia Web searching terms; and (d) use of advanced Web search techniques including Boolean and natural language. The current study findings are compared with results from previous multimedia Web searching studies. The key findings are: (a) Since 1997, image search consistently is the dominant media type searched followed by audio and video; (b) multimedia search duration is still short (>50% of searching episodes are <1 min), using few search terms; (c) many multimedia searches are for information about people, especially in audio search; and (d) multimedia search has begun to shift from entertainment to other categories such as medical, sports, and technology (based on the most repeated terms). Implications for design of Web multimedia search engines are discussed.

0.008614672 = product of:
  0.025844015 = sum of:
    0.025844015 = weight(_text_:development in 6678) [ClassicSimilarity], result of:
      0.025844015 = score(doc=6678,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.16140866 = fieldWeight in 6678, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.03125 = fieldNorm(doc=6678)
  0.33333334 = coord(1/3)

Abstract

A growing body of research is beginning to explore the information-seeking behavior of Web users. The vast majority of these studies have concentrated on the area of textual information retrieval (IR). Little research has examined how people search for non-textual information on the Internet, and few large-scale studies have investigated visual information-seeking behavior with Web search engines. This study examined visual information needs as expressed in users' Web image queries. The data set examined consisted of 1,025,908 sequential queries from 211,058 users of EXCITE, a major Internet search service. Twenty-eight (28) terms were used to identify queries for both still and moving images, resulting in a subset of 33,149 image queries by 9,855 users. We provide data on: (1) image queries -- the number of queries and the number of search terms per user, (2) image search sessions -- the number of queries per user, modifications made to subsequent queries in a session, and (3) image terms -- their rank/frequency distribution and the most highly used search terms. On average, there were 3. 36 image queries per user containing an average of 3.74 terms per query. Image queries contained a large number of unique terms. The most frequently occurring image related terms appeared less than 10 percent of the time, with most terms occurring only once. This analysis is contrasted to earlier work by Enser (1995) who examined written queries for pictorial information in a non-digital environment. Implications for the development of models for visual information retrieval, and for the design of Web search engines are discussed

0.008614672 = product of:
  0.025844015 = sum of:
    0.025844015 = weight(_text_:development in 6704) [ClassicSimilarity], result of:
      0.025844015 = score(doc=6704,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.16140866 = fieldWeight in 6704, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.03125 = fieldNorm(doc=6704)
  0.33333334 = coord(1/3)

Abstract

The Naval Postgraduate School (NPS) is a military university educating officers from the United States and 40 foreign countries. To investigate the NPS information environment a large study obtained data on the range of information needs and behaviors of NPS personnel. The specific aim of the study was to supply organizational units with qualitative data specific to their client base, enabling them to improve campus systems and information services. Facilitators from the NPS Organizational Support Division conducted eighteen (18) focus groups during Spring Quarter 1998. Transcribed focus group sessions were analyzed using NUDIST software to identify key issues and results emerging from the data set. Categories of participants' information needs were identified, including an analysis of key information issues across the NPS campus. Use of Internet resources, other trusted individuals, and electronic indexes and abstracts ranked high among information sources used by NPS personnel. A picture emerges of a campus information environment poorly understood by the academic community. The three groups (students, staff and faculty) articulated different concerns and look to different sources to satisfy their information needs. Participants' information seeking problems centered on: (1) housing, registration and scheduling, computing and the quality of information available on the campus computer network, (2) an inability to easily disseminate information quickly to an appropriate campus audience, and (3) training in new information access technologies, and (4) the general lack of awareness of library resources and services. The paper discusses a method for more effectively disseminating information throughout the campus. Implications for the development of information seeking models and a model of the NPS information environment are discussed

0.007537838 = product of:
  0.022613514 = sum of:
    0.022613514 = weight(_text_:development in 1255) [ClassicSimilarity], result of:
      0.022613514 = score(doc=1255,freq=2.0), product of:
        0.16011542 = queryWeight, product of:
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.04384008 = queryNorm
        0.14123258 = fieldWeight in 1255, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.652261 = idf(docFreq=3116, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1255)
  0.33333334 = coord(1/3)

Abstract

As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.

0.0046617216 = product of:
  0.013985164 = sum of:
    0.013985164 = product of:
      0.041955493 = sum of:
        0.041955493 = weight(_text_:29 in 2530) [ClassicSimilarity], result of:
          0.041955493 = score(doc=2530,freq=2.0), product of:
            0.1542157 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04384008 = queryNorm
            0.27205724 = fieldWeight in 2530, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2530)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

15. 8.2004 12:00:29

0.0039598173 = product of:
  0.011879452 = sum of:
    0.011879452 = product of:
      0.035638355 = sum of:
        0.035638355 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
          0.035638355 = score(doc=2742,freq=2.0), product of:
            0.1535205 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04384008 = queryNorm
            0.23214069 = fieldWeight in 2742, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2742)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

22. 3.2009 17:49:11

0.0033298018 = product of:
  0.009989405 = sum of:
    0.009989405 = product of:
      0.029968213 = sum of:
        0.029968213 = weight(_text_:29 in 5586) [ClassicSimilarity], result of:
          0.029968213 = score(doc=5586,freq=2.0), product of:
            0.1542157 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04384008 = queryNorm
            0.19432661 = fieldWeight in 5586, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5586)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

29. 9.2001 13:59:20

0.0033298018 = product of:
  0.009989405 = sum of:
    0.009989405 = product of:
      0.029968213 = sum of:
        0.029968213 = weight(_text_:29 in 5242) [ClassicSimilarity], result of:
          0.029968213 = score(doc=5242,freq=2.0), product of:
            0.1542157 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04384008 = queryNorm
            0.19432661 = fieldWeight in 5242, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5242)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

21. 7.2006 14:29:18

0.0033298018 = product of:
  0.009989405 = sum of:
    0.009989405 = product of:
      0.029968213 = sum of:
        0.029968213 = weight(_text_:29 in 270) [ClassicSimilarity], result of:
          0.029968213 = score(doc=270,freq=2.0), product of:
            0.1542157 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.04384008 = queryNorm
            0.19432661 = fieldWeight in 270, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=270)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

29. 4.2007 21:12:02

0.0026398783 = product of:
  0.007919635 = sum of:
    0.007919635 = product of:
      0.023758903 = sum of:
        0.023758903 = weight(_text_:22 in 642) [ClassicSimilarity], result of:
          0.023758903 = score(doc=642,freq=2.0), product of:
            0.1535205 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04384008 = queryNorm
            0.15476047 = fieldWeight in 642, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=642)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)

Date

19. 1.2007 12:55:22