-
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
-
Clough, P.; Sanderson, M.: User experiments with the Eurovision Cross-Language Image Retrieval System (2006)
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- Abstract
- In this article the authors present Eurovision, a textbased system for cross-language (CL) image retrieval. The system is evaluated by multilingual users for two search tasks with the system configured in English and five other languages. To the authors' knowledge, this is the first published set of user experiments for CL image retrieval. They show that (a) it is possible to create a usable multilingual search engine using little knowledge of any language other than English, (b) categorizing images assists the user's search, and (c) there are differences in the way users search between the proposed search tasks. Based on the two search tasks and user feedback, they describe important aspects of any CL image retrieval system.
-
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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- Abstract
- A novel and complex form of information access is cross-language information retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively well understood, the appropriate interface design is not. The authors present three user evaluations undertaken during the iterative design of Clarity, a cross-language retrieval system for lowdensity languages, and shows how the user-interaction design evolved depending on the results of usability tests. The first test was instrumental to identify weaknesses in both functionalities and interface; the second was run to determine if query translation should be shown or not; the final was a global assessment and focused on user satisfaction criteria. Lessons were learned at every stage of the process leading to a much more informed view of what a cross-language retrieval system should offer to users.
-
Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014)
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- Date
- 26. 1.2014 18:48:22
-
Al-Maskari, A.; Sanderson, M.: ¬A review of factors influencing user satisfaction in information retrieval (2010)
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- Abstract
- The authors investigate factors influencing user satisfaction in information retrieval. It is evident from this study that user satisfaction is a subjective variable, which can be influenced by several factors such as system effectiveness, user effectiveness, user effort, and user characteristics and expectations. Therefore, information retrieval evaluators should consider all these factors in obtaining user satisfaction and in using it as a criterion of system effectiveness. Previous studies have conflicting conclusions on the relationship between user satisfaction and system effectiveness; this study has substantiated these findings and supports using user satisfaction as a criterion of system effectiveness.
-
Sanderson, M.; Ruthven, I.: Report on the Glasgow IR group (glair4) submission (1997)
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Crestani, F.; Ruthven, I.; Sanderson, M.; Rijsbergen, C.J. van: ¬The troubles with using a logical model of IR on a large collection of documents : experimenting retrieval by logical imaging on TREC (1996)
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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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-
Aldosari, M.; Sanderson, M.; Tam, A.; Uitdenbogerd, A.L.: Understanding collaborative search for places of interest (2016)
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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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- Abstract
- Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization structure and retrieval parameters. The aims of our research were therefore to study users' folder structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder structures were found to be shallow (files were retrieved from mean depth of 2.86 folders), with small folders (a mean of 11.82 files per folder) containing many subfolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94% of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on folder size and depth. We therefore found the users' decision to avoid both deep structure and large folders to be adaptive. Finally, we used a predictive model to formulate the effect of folder depth and folder size on retrieval time, and suggested an optimization point in this trade-off.
-
Ren, Y.; Tomko, M.; Salim, F.D.; Ong, K.; Sanderson, M.: Analyzing Web behavior in indoor retail spaces (2017)
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Purves, R.S.; Sanderson, M.: ¬A methodology to allow avalanche forecasting on an information retrieval system (1998)
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Tann, C.; Sanderson, M.: Are Web-based informational queries changing? (2009)
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Sanderson, M.; Lawrie, D.: Building, testing, and applying concept hierarchies (2000)
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Sanderson, M.: Revisiting h measured on UK LIS and IR academics (2008)
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Lee, W.M.; Sanderson, M.: Analyzing URL queries (2010)
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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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Vrettas, G.; Sanderson, M.: Conferences versus journals in computer science (2015)
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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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Tavakoli, L.; Zamani, H.; Scholer, F.; Croft, W.B.; Sanderson, M.: Analyzing clarification in asynchronous information-seeking conversations (2022)
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