-
Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019)
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- Date
- 20. 1.2015 18:30:22
- Footnote
- Beitag in einem Special Issue: Information Science in the German-speaking Countries
- Source
- Aslib journal of information management. 71(2019) no.3, S.325-343
-
Sanchiza, M.; Chinb, J.; Chevaliera, A.; Fuc, W.T.; Amadieua, F.; Hed, J.: Searching for information on the web : impact of cognitive aging, prior domain knowledge and complexity of the search problems (2017)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316301923 [http://dx.doi.org/10.1016/j.ipm.2016.09.003].
- Source
- Information processing and management. 53(2017) no.1, S.281-294
-
Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015)
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- Date
- 25. 1.2016 18:46:22
- Source
- Information processing and management. 51(2015) no.5, S.557-569
-
Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 71(2019) no.6, S.755-772
-
Tamine, L.; Chouquet, C.: On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings (2017)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S030645731630303X [http://dx.doi.org/10.1016/j.ipm.2016.11.004].
- Source
- Information processing and management. 53(2017) no.2, S.332-350
-
Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019)
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- Abstract
- Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1248-1261
-
Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 66(2014) no.5, S.537-552
-
Barrio, P.; Gravano, L.: Sampling strategies for information extraction over the deep web (2017)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316306318 [http://dx.doi.org/10.1016/j.ipm.2016.11.006].
- Source
- Information processing and management. 53(2017) no.2, S.309-331
-
Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017)
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- Abstract
- Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1111-1123
-
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
-
Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
-
Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018)
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- Date
- 9.12.2018 16:22:25
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
-
Abacha, A.B.; Zweigenbaum, P.: MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies (2015)
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- Information processing and management. 51(2015) no.5, S.570-594
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Xie, I.; Joo, S.: Factors affecting the selection of search tactics : tasks, knowledge, process, and systems (2012)
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- Information processing and management. 48(2012) no.2, S.254-270
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Wildemuth, B.M.; Kelly, D,; Boettcher, E.; Moore, E.; Dimitrova, G.: Examining the impact of domain and cognitive complexity on query formulation and reformulation (2018)
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- Information processing and management. 54(2018) no.3, S.433-450
-
Sheeja, N.K.: Science vs social science : a study of information-seeking behavior and user perceptions of academic researchers (2010)
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- Abstract
- Purpose - The purpose of this paper is to examine the information-seeking behavior of science and social science research scholars, including service effectiveness, satisfaction level on different type of sources and various methods adopted by the scholars for keeping up to date. Design/methodology/approach - Data were gathered using a questionnaire survey of 200, randomly selected, PhD students of science and social science departments of four universities in Kerala, India. Findings - Although similarities exist between social science and science PhD students with regard to information-seeking behavior, there are significant differences as well. There is a significant difference between science and social science scholars on the perception of the adequacy of print journals and database collection which are very relevant to the research purposes. There is no significant difference between science and social science scholars on the perception of the adequacy of e-journals, the most used source for keeping up to date. The study proved that scholars of both the fields are dissatisfied with the effectiveness of the library in keeping them up to date with latest developments. Originality/value - The study is based on actual situation and the result can be used for library service redesign for different types of users.
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Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains (2012)
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- Abstract
- This chapter is dedicated to factual question answering, i.e., extracting precise and exact answers to question given in natural language from texts. A question in natural language gives more information than a bag of word query (i.e., a query made of a list of words), and provides clues for finding precise answers. The author first focuses on the presentation of the underlying problems mainly due to the existence of linguistic variations between questions and their answerable pieces of texts for selecting relevant passages and extracting reliable answers. The author first presents how to answer factual question in open domain. The author also presents answering questions in specialty domain as it requires dealing with semi-structured knowledge and specialized terminologies, and can lead to different applications, as information management in corporations for example. Searching answers on the Web constitutes another application frame and introduces specificities linked to Web redundancy or collaborative usage. Besides, the Web is also multilingual, and a challenging problem consists in searching answers in target language documents other than the source language of the question. For all these topics, this chapter presents main approaches and the remaining problems.
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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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- Source
- Information processing and management. 48(2012) no.6, S.1136-1150
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Lykke, M.; Price, S.; Delcambre, L.: How doctors search : a study of query behaviour and the impact on search results (2012)
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- Source
- Information processing and management. 48(2012) no.6, S.1151-1170
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Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018)
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- Source
- Information processing and management. 54(2018) no.6, S.1022-1041
