-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
-
Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
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- Abstract
- Numerous studies have explored the possibility of uncovering information from web search queries but few have examined the factors that affect web query data sources. We conducted a study that investigated this issue by comparing Google Trends and Baidu Index. Data from these two services are based on queries entered by users into Google and Baidu, two of the largest search engines in the world. We first compared the features and functions of the two services based on documents and extensive testing. We then carried out an empirical study that collected query volume data from the two sources. We found that data from both sources could be used to predict the quality of Chinese universities and companies. Despite the differences between the two services in terms of technology, such as differing methods of language processing, the search volume data from the two were highly correlated and combining the two data sources did not improve the predictive power of the data. However, there was a major difference between the two in terms of data availability. Baidu Index was able to provide more search volume data than Google Trends did. Our analysis showed that the disadvantage of Google Trends in this regard was due to Google's smaller user base in China. The implication of this finding goes beyond China. Google's user bases in many countries are smaller than that in China, so the search volume data related to those countries could result in the same issue as that related to China.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
-
Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016)
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- Content
- Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
- Date
- 1. 2.2016 18:25:22
- LCSH
- Computer science
- Series
- Study in computer science and media design
- Subject
- Computer science
-
Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999)
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- LCSH
- Text processing (Computer science)
- Subject
- Text processing (Computer science)
-
Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004)
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- Date
- 15. 8.2004 12:00:29
- Source
- Information processing and management. 40(2004) no.2, S.319-345
-
Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006)
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- Abstract
- The World Wide Web is a popular and interactive medium used to collect, disseminate, and access an increasingly huge amount of information, which constitutes the mainstay of the so-called information and knowledge society. Because of its spectacular growth, related to both Web resources (pages, sites, and services) and number of users, the Web is nowadays the main information repository and provides some automatic systems for locating, accessing, and retrieving information. However, an open and crucial question remains: how to provide fast and effective retrieval of the information relevant to specific users' needs. This is a very hard and complex task, since it is pervaded with subjectivity, vagueness, and uncertainty. The expression soft computing refers to techniques and methodologies that work synergistically with the aim of providing flexible information processing tolerant of imprecision, vagueness, partial truth, and approximation. So, soft computing represents a good candidate to design effective systems for information access and retrieval on the Web. One of the most representative tools of soft computing is fuzzy set theory. This special topic section collects research articles witnessing some recent advances in improving the processes of information access and retrieval on the Web by using soft computing tools, and in particular, by using fuzzy sets and/or integrating them with other soft computing tools. In this introductory article, we first review the problem of Web retrieval and the concept of soft computing technology. We then briefly introduce the articles in this section and conclude by highlighting some future research directions that could benefit from the use of soft computing technologies.
- Date
- 22. 7.2006 16:59:33
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.511-514
-
Sauer, D.: Alles schneller finden (2001)
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- Date
- 1. 8.1997 14:03:29
11.11.2001 17:25:22
- Source
- Com!online. 2001, H.12, S.24-29
-
Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004)
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- Date
- 14. 8.2004 10:30:29
- Source
- Information processing and management. 40(2004) no.4, S.693-708
-
Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005)
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- Date
- 26.12.2007 20:28:29
- Source
- Information processing and management. 41(2005) no.5, S.1207-1224
-
Loeper, D. von: Sherlock Holmes im Netz (1997)
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- Date
- 22. 2.1997 19:50:29
-
Nahl, D.: Ethnography of novices' first use of Web search engines : affective control in cognitive processing (1998)
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- Abstract
- Reports results of a study, conducted at Hawaii University, Department of Information and Computer Science, to understand the novide searchers' experience in learning to use a WWW search engine. Without prior searching instruction, undergraduate novives wrote structured self reports during their first session on a Web search engine. Users choose their own topics and followed written instructions that prompted them to describe thoughts and feelings during specified stages of the search; pre search formulation; search statement formulation; search strategy; and evaluation of the results. The sentences in the self reports were numbered and then coded according to their affective or cognitive function. The affective sentences reveal how users set goals and limit the scope of the cognitive operations. Search acts appear to be governed by an affective filter that organizes incoming information and provides criteria for ranking cognitive relevance to search goal. Content analysis identifies reasons users have for rating self confidence, stress level, satisfaction, usefulness, and success with future searches
-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316300073.
- Source
- Information processing and management. 52(2016) no.5, S.733-752
-
Bar-Ilan, J.: Comparing rankings of search results on the Web (2005)
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- Date
- 27.12.2007 17:29:21
- Source
- Information processing and management. 41(2005) no.6, S.1511-1519
-
Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008)
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- Date
- 29. 7.2008 15:27:58
- Source
- Information processing and management. 44(2008) no.2, S.463-484
-
Hoeber, O.; Yang, X.D.: Evaluating WordBars in exploratory Web search scenarios (2008)
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- Date
- 29. 7.2008 15:30:02
- Source
- Information processing and management. 44(2008) no.2, S.485-510
-
Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005)
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- LCSH
- Text processing (Computer science)
- Subject
- Text processing (Computer science)
-
Hupfer, M.E.; Detlor, B.: Gender and Web information seeking : a self-concept orientation model (2006)
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- Abstract
- Adapting the consumer behavior selectivity model to the Web environment, this paper's key contribution is the introduction of a self-concept orientation model of Web information seeking. This model, which addresses gender, effort, and information content factors, questions the commonly assumed equivalence of sex and gender by specifying the measurement of gender-related selfconcept traits known as self- and other-orientation. Regression analyses identified associations between self-orientation, other-orientation, and self-reported search frequencies for content with identical subject domain (e.g., medical information, government information) and differing relevance (i.e., important to the individual personally versus important to someone close to him or her). Self- and other-orientation interacted such that when individuals were highly self-oriented, their frequency of search for both self- and other-relevant information depended on their level of other-orientation. Specifically, high-self/high-other individuals, with a comprehensive processing strategy, searched most often, whereas high-self/low-other respondents, with an effort minimization strategy, reported the lowest search frequencies. This interaction pattern was even more pronounced for other-relevant information seeking. We found no sex differences in search frequency for either self-relevant or other-relevant information.
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1105-1115
-
Roy, R.S.; Agarwal, S.; Ganguly, N.; Choudhury, M.: Syntactic complexity of Web search queries through the lenses of language models, networks and users (2016)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316300528.
- Source
- Information processing and management. 52(2016) no.5, S.923-948
-
Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002)
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- Date
- 29. 9.2002 18:49:22
-
Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999)
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- Date
- 23.10.1996 17:26:29
22. 3.2008 14:04:11
