Search (8 results, page 1 of 1)

  • × author_ss:"Marchionini, G."
  1. Ding, W.; Marchionini, G.: ¬A comparative study of Web search service performance (1996) 0.02
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    Abstract
    Investigates the current state of search services conducted by comparing 3 popular WWW based search services: InfoSeek, Lycos and OpenText. A taxonomy of service features was first created to do a descriptive comparison. A set of 5 questions were used to conduct searches with the 3 services. Each service offered some advantage for specific queries although Lycos and OpenText showed better results for the different precision metrics used in this limited study. There was a low result overlap among the 3 services. None of the services provide good output control for users. Makes recommendations for improvements in display, indexing and updating
  2. White, R.W.; Marchionini, G.; Muresan, G.: Evaluating exploratory search systems : introduction to special topic issue of information processing and management (2008) 0.01
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    Source
    Information processing and management. 44(2008) no.2, S.433-436
  3. Marchionini, G.; Fox, E.A.: Progress toward Digital Libraries : augmentation through integration (1999) 0.01
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    Source
    Information processing and management. 35(1999) no.3, S.219-225
  4. Marchionini, G.: Toward Human-Computer Information Retrieval (2006) 0.01
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    Abstract
    This is a propitious time for information science. The WWW has propelled information services into the public eye as never before, and information professionals are sought out in all walks of life to assist people with work, learning and play in the information environment. Classical information retrieval has yielded novel techniques for applying computers to retrieval problems, including WWW search engines. The classical model of retrieval is one of matching queries to documents and ranking these matches. It is apparent, however, that a new model of retrieval is needed as people access large-scale digital libraries of multimedia content and vast collections of unstructured data in the WWW. What is needed are ways to bring human intelligence and attention more actively into the search process. To this end, researchers are beginning to combine the lessons from designing highly interactive user interfaces with the lessons from human information behavior to create new kinds of search systems that depend on continuous human control of the search process. I call this hybrid approach to the challenges of information seeking, human-computer information retrieval (HCIR). Though human-computer information interaction is perhaps a more expansive and appropriate phrase, the HCIR phrase unites two well-known fields/communities of practice and is thus adopted here. HCIR aims to empower people to explore large-scale information bases but demands that people also take responsibility for this control by expending cognitive and physical energy. This paper outlines the basic motivations and concepts of HCIR and presents design goals and challenges that are informed by two ongoing HCIR projects.
  5. Marchionini, G.: Information concepts : from books to cyberspace identities (2010) 0.01
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    Series
    Synthesis lectures on information concepts, retrieval, and services ; 16
  6. Komlodi, A.; Marchionini, G.; Soergel, D.: Search history support for finding and using information : user interface design recommendations from a user study (2007) 0.01
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    Abstract
    Recording search histories, presenting them to the searcher, and building additional interface tools on them offer many opportunities for supporting user tasks in information seeking and use. This study investigated the use of search history information in legal information seeking. Qualitative methods were used to explore how attorneys and law librarians used their memory and external memory aids while searching for information and in transferring to information use. Based on the findings, interface design recommendations were made for information systems. Results of the study from the legal user group presented evidence of the usefulness of search histories and history-based interface tools. Both user manifestations and researcher observations revealed that searchers need historical information in information seeking. Search histories were found to be useful in many user tasks: memory support, search system use, information seeking, information use, task management, task integration, and collaboration. Integrating information across various user tasks and collaborating with others are extensions of traditional information-seeking and use models. These findings encouraged the design of user interface tools and guidelines building on search history information.
    Source
    Information processing and management. 43(2007) no.1, S.10-29
  7. Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006) 0.00
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    Date
    22. 7.2006 18:04:19
  8. White, R.W.; Marchionini, G.: Examining the effectiveness of real-time query expansion (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.3, S.685-704