-
Ren, Y.; Tomko, M.; Salim, F.D.; Ong, K.; Sanderson, M.: Analyzing Web behavior in indoor retail spaces (2017)
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- Abstract
- We analyze 18- million rows of Wi-Fi access logs collected over a 1-year period from over 120,000 anonymized users at an inner city shopping mall. The anonymized data set gathered from an opt-in system provides users' approximate physical location as well as web browsing and some search history. Such data provide a unique opportunity to analyze the interaction between people's behavior in physical retail spaces and their web behavior, serving as a proxy to their information needs. We found that (a) there is a weekly periodicity in users' visits to the mall; (b) people tend to visit similar mall locations and web content during their repeated visits to the mall; (c) around 60% of registered Wi-Fi users actively browse the web, and around 10% of them use Wi-Fi for accessing web search engines; (d) people are likely to spend a relatively constant amount of time browsing the web while the duration of their visit may vary; (e) the physical spatial context has a small, but significant, influence on the web content that indoor users browse; and (f) accompanying users tend to access resources from the same web domains.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.62-76
-
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
-
Sanderson, M.: Revisiting h measured on UK LIS and IR academics (2008)
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- Abstract
- A brief communication appearing in this journal ranked UK-based LIS and (some) IR academics by their h-index using data derived from the Thomson ISI Web of Science(TM) (WoS). In this brief communication, the same academics were re-ranked, using other popular citation databases. It was found that for academics who publish more in computer science forums, their h was significantly different due to highly cited papers missed by WoS; consequently, their rank changed substantially. The study was widened to a broader set of UK-based LIS and IR academics in which results showed similar statistically significant differences. A variant of h, hmx, was introduced that allowed a ranking of the academics using all citation databases together.
- Object
- Web of Science
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.7, S.1184-1190
-
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
-
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
-
Sanderson, M.: ¬The Reuters test collection (1996)
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- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Tann, C.; Sanderson, M.: Are Web-based informational queries changing? (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1290-1293
-
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
-
Petrelli, D.; Beaulieu, M.; Sanderson, M.; Demetriou, G.; Herring, P.; Hansen, P.: Observing users, designing clarity : a case study an the user-centered design of a cross-language information retrieval system (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.10, S.923-934
-
Clough, P.; Sanderson, M.: User experiments with the Eurovision Cross-Language Image Retrieval System (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.697-708
-
Petrelli, D.; Levin, S.; Beaulieu, M.; Sanderson, M.: Which user interaction for cross-language information retrieval? : design issues and reflections (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.709-722
-
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
-
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
-
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
-
Tavakoli, L.; Zamani, H.; Scholer, F.; Croft, W.B.; Sanderson, M.: Analyzing clarification in asynchronous information-seeking conversations (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.3, S.449-471
-
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
