Search (14 results, page 1 of 1)

  • × author_ss:"Spink, A."
  1. Spink, A.; Gunar, O.: E-Commerce Web queries : Excite and AskJeeves study (2001) 0.03
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    Date
    14. 7.2001 18:43:40
  2. Spink, A.; Goodrum, A.; Robins, D.: Search intermediary elicitations during mediated online searching (1995) 0.01
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    Abstract
    Investigates search intermediary elicitations during mediated online searching. A study of 40 online reference interviews involving 1.557 search intermediary elicitation, found 15 different types of search intermediary elicitation to users. The elicitation purpose included search terms and strategies, database selection, relevance of retrieved items, users' knowledge and previous information seeking. Analysis of the patterns in the types and sequencing of elicitation showed significant strings of multiple elicitation regarding search terms and strategies, and relevance judgements. Discusses the implications of the findings for training search intermediaries and the design of interfaces eliciting information from end users
  3. Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998) 0.01
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    Abstract
    Considers what elicitation or requests for information search intermediaries make of users with information requests during an information retrieval interaction - including prior to and during an information retrieval interaction - and for what purpose. Reports a study of elicitations during 40 mediated information retrieval interactions. Identifies a total of 1.557 search intermediary elicitations within 15 purpose categories. The elicitation purposes of search intermediaries included requests for information on search terms and strategies, database selection, search procedures, system's outputs and relevance of retrieved items, and users' knowledge and previous information seeking. Investigates the transition sequences from 1 type of search intermediary elicitation to another. Compares these findings with results from a study of end user questions
  4. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.01
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    Source
    Information processing and management. 40(2004) no.2, S.319-345
  5. Spink, A.; Cole, C.: ¬A human information behavior approach to a philosophy of information (2004) 0.01
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    Date
    11. 2.2007 19:26:40
  6. Spink, A.; Saracevic, T.: Interaction in information retrieval : selection and effectiveness of search terms (1997) 0.01
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    Abstract
    We investigated the sources and effectiveness of search terms used during mediated on-line searching under real-life (as opposed to laboratory) circumstances. A stratified model of information retrieval (IR) interaction served as a framework for the analysis. For the analysis, we used the on-line transaction logs, videotapes, and transcribed dialogue of the presearch and on-line interaction between 40 users and 4 professional intermediaries. Each user provided one question and interacted with one of the four intermediaries. Searching was done using DIALOG. Five sources of search terms were identified: (1) the users' written question statements, (2) terms derived from users' domain knowledge during the interaction, (3) terms extracted from retrieved items as relevance feedback, (4) database thesaurus, and (5) terms derived by intermediaries during the interaction. Distribution, retrieval effectiveness, transition sequences, and correlation of search terms from different sources were investigated. Search terms from users' written question statements and term relevance feedback were the most productive sources of terms contributing to the retrieval of items judged relevant by users. Implications of the findings are discussed
  7. Spink, A.; Park, M.: Information and non-information multitasking interplay (2005) 0.01
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    Date
    5.11.2005 19:40:21
  8. Spink, A.; Park, M.; Koshman, S.: Factors affecting assigned information problem ordering during Web search : an exploratory study (2006) 0.01
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    Abstract
    Multitasking is the human ability to handle the demands of multiple tasks. Multitasking behavior involves the ordering of multiple tasks and switching between tasks. People often multitask when using information retrieval (IR) technologies as they seek information on more than one information problem over single or multiple search episodes. However, limited studies have examined how people order their information problems, especially during their Web search engine interaction. The aim of our exploratory study was to investigate assigned information problem ordering by forty (40) study participants engaged in Web search. Findings suggest that assigned information problem ordering was influenced by the following factors, including personal interest, problem knowledge, perceived level of information available on the Web, ease of finding information, level of importance and seeking information on information problems in order from general to specific. Personal interest and problem knowledge were the major factors during assigned information problem ordering. Implications of the findings and further research are discussed. The relationship between information problem ordering and gratification theory is an important area for further exploration.
  9. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.01
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    Date
    1. 8.2008 11:51:40
  10. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.01
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    Abstract
    Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation state to another to predict their next state. We developed first-, second-, third-, and fourth-order models and evaluated each model for accuracy of prediction, coverage of the dataset, and complexity of the possible pattern set. The results show that Reformulation and Assistance account for approximately 45% of all query reformulations; furthermore, the results demonstrate that the first- and second-order models provide the best predictability, between 28 and 40% overall and higher than 70% for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance.
  11. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11
  12. Reneker, M.; Jacobson, A.; Wargo, L.; Spink, A.: Information environment of a military university campus : an exploratory study (1999) 0.01
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    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
  13. Spink, A.; Wolfram, D.; Jansen, B.J.; Saracevic, T.: Searching the Web : the public and their queries (2001) 0.01
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    Date
    16. 7.2006 9:40:17
  14. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.01
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    Date
    19. 1.2007 12:55:22