-
Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014)
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- Date
- 26. 1.2014 18:48:22
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
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Vrettas, G.; Sanderson, M.: Conferences versus journals in computer science (2015)
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- Abstract
- The question of which type of computer science (CS) publication-conference or journal-is likely to result in more citations for a published paper is addressed. A series of data sets are examined and joined in order to analyze the citations of over 195,000 conference papers and 108,000 journal papers. Two means of evaluating the citations of journals and conferences are explored: h5 and average citations per paper; it was found that h5 has certain biases that make it a difficult measure to use (despite it being the main measure used by Google Scholar). Results from the analysis show that CS, as a discipline, values conferences as a publication venue more highly than any other academic field of study. The analysis also shows that a small number of elite CS conferences have the highest average paper citation rate of any publication type, although overall, citation rates in conferences are no higher than in journals. It is also shown that the length of a paper is correlated with citation rate.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2674-2684
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Aldosari, M.; Sanderson, M.; Tam, A.; Uitdenbogerd, A.L.: Understanding collaborative search for places of interest (2016)
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- Abstract
- Finding a place of interest (e.g., a restaurant, hotel, or attraction) is often related to a group information need, however, the actual multiparty collaboration in such searches has not been explored, and little is known about its significance and related practices. We surveyed 100 computer science students and found that 94% (of respondents) searched for places online; 87% had done so as part of a group. Search for place by multiple active participants was experienced by 78%, with group sizes typically being 2 or 3. Search occurred in a range of settings with both desktop PCs and mobile devices. Difficulties were reported with coordinating tasks, sharing results, and making decisions. The results show that finding a place of interest is a quite different group-based search than other multiparty information-seeking activities. The results suggest that local search systems, their interfaces and the devices that access them can be made more usable for collaborative search if they include support for coordination, sharing of results, and decision making.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1331-1344
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Al-Maskari, A.; Sanderson, M.: ¬A review of factors influencing user satisfaction in information retrieval (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.859-868
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Lee, W.M.; Sanderson, M.: Analyzing URL queries (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2300-2310
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Wan-Chik, R.; Clough, P.; Sanderson, M.: Investigating religious information searching through analysis of a search engine log (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.12, S.2492-2506
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Spina, D.; Trippas, J.R.; Cavedon, L.; Sanderson, M.: Extracting audio summaries to support effective spoken document search (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2101-2115
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Bergman, O.; Whittaker, S.; Sanderson, M.; Nachmias, R.; Ramamoorthy, A.: ¬The effect of folder structure on personal file navigation (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2426-2441
-
Yulianti, E.; Huspi, S.; Sanderson, M.: Tweet-biased summarization (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1289-1300
-
Ren, Y.; Tomko, M.; Salim, F.D.; Ong, K.; Sanderson, M.: Analyzing Web behavior in indoor retail spaces (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.62-76
