Search (6 results, page 1 of 1)

  • × year_i:[1990 TO 2000}
  • × author_ss:"Soergel, D."
  1. Soergel, D.: Indexing and retrieval performance : the logical evidence (1994) 0.01
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    Abstract
    This article presents a logical analysis of the characteristics of indexing and their effects on retrieval performance.It establishes the ability to ask the questions one needs to ask as the foundation of performance evaluation, and recall and discrimination as the basic quantitative performance measures for binary noninteractive retrieval systems. It then defines the characteristics of indexing that affect retrieval - namely, indexing devices, viewpoint-based and importance-based indexing exhaustivity, indexing specifity, indexing correctness, and indexing consistency - and examines in detail their effects on retrieval. It concludes that retrieval performance depends chiefly on the match between indexing and the requirements of the individual query and on the adaption of the query formulation to the characteristics of the retrieval system, and that the ensuing complexity must be considered in the design and testing of retrieval systems
  2. Soergel, D.: Information structure management : a unified framework for indexing and searching in database, expert, information-retrieval, and hypermedia systems (1994) 0.01
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  3. Wang, P.; Soergel, D.: Beyond topical relevance : document selection behaviour of real users of IR systems (1993) 0.01
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    Abstract
    Reports on part of a study of real users' behaviour in selecting documents from a list of citations resulting from a search of an information retrieval system. Document selection involves value judgements and decision making. Understanding how users evaluate documents and make decisions provides a basis for designing intelligent information retrieval system that can do a better job of predicting usefulness
  4. Soergel, D.: Indexing and retrieval performance : the logical evidence (1997) 0.00
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  5. Ding, W.; Soergel, D.; Marchionini, G.: Performance of visual, verbal, and combined video surrogates (1999) 0.00
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    Abstract
    This study investigates the information representation power of different modalities in the video data in order to collect empirical evidence for video surrogate creation and thus better support effective video browsing and information retrieval. Three types of video surrogates - keyframe, keyword/phrase, and combination of the two were created and compared under two user tasks-verbal comprehension and visual gisting in user performance and preference. Results and discussions follow
  6. Wang, P.; Soergel, D.: ¬A cognitive model of document use during a research project : Study I: Document selection (1998) 0.00
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    Abstract
    This article proposes a model of document selection by real users of a bibliographic retrieval system. It reports on Part 1 of a longitudinal study of decision making on document use by academics during a actual research project. (Part 2 followed up the same users on how the selected documents were actually used in subsequent stages). The participants are 25 self-selected faculty and graduate students in Agricultural Economics. After a reference interview, the researcher conducted a search of DIALOG databases and prepared a printout. The users selected documents from this printout, They were asked to read and think aloud while selecting documents. There verbal reports were recorded and analyzed from a utiliy-theoretic perspective. The following model of the decision-making in the selection process emerged: document information lemenets (DIEs) in document records provide the information for judging the documents on 11 criteria (including topicality, orientation, quality, novelty, and authority); the criteria judgments are comninded in an assessment of document value along 5 dimensions (Epistemic, functional, conditional, social, and emotional values), leading to the use decision. This model accounts for the use of personal knowledge and decision strategies applied in the selection process. The model has implications for the design of an intelligent document selection assistant