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Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016)
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- Footnote
- To appear in Experimental IR Meets Multilinguality, Multimodality, and Interaction. 7th International Conference of the CLEF Association, CLEF 2016, \'Evora, Portugal, September 5-8, 2016.
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Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012)
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- Abstract
- This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.
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Das, A.; Jain, A.: Indexing the World Wide Web : the journey so far (2012)
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- Pages
- S.1-28
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Roux, M.: Metadata for search engines : what can be learned from e-Sciences? (2012)
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- Abstract
- E-sciences are data-intensive sciences that make a large use of the Web to share, collect, and process data. In this context, primary scientific data is becoming a new challenging issue as data must be extensively described (1) to account for empiric conditions and results that allow interpretation and/or analyses and (2) to be understandable by computers used for data storage and information retrieval. With this respect, metadata is a focal point whatever it is considered from the point of view of the user to visualize and exploit data as well as this of the search tools to find and retrieve information. Numerous disciplines are concerned with the issues of describing complex observations and addressing pertinent knowledge. In this paper, similarities and differences in data description and exploration strategies among disciplines in e-sciences are examined.
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Fu, T.; Abbasi, A.; Chen, H.: ¬A focused crawler for Dark Web forums (2010)
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- Date
- 1. 6.2010 10:16:02
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Shapira, B.; Zabar, B.: Personalized search : integrating collaboration and social networks (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.146-160
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Akhigbe, B.I.; Afolabi, B.S.; Adagunodo, E.R.: Modelling user-centered attributes : the Web search engine as a case (2015)
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- Source
- Knowledge organization. 42(2015) no.1, S.25-39
