-
Hughes, T.; Acharya, A.: ¬An interview with Anurag Acharya, Google Scholar lead engineer
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- Abstract
- When I interned at Google last summer after getting my MSI degree, I worked on projects for the Book Search and Google Scholar teams. I didn't know it at the time, but in completing my research over the course of the summer, I would become the resident expert on how universities were approaching Google Scholar as a research tool and how they were implementing Scholar on their library websites. Now working at an academic library, I seized a recent opportunity to sit down with Anurag Acharya, Google Scholar's founding engineer, to delve a little deeper into how Scholar features are developed and prioritized, what Scholar's scope and aims are, and where the product is headed. -Tracey Hughes, GIS Coordinator, Social Sciences & Humanities Library, University of California San Diego
-
Eggeling, T.; Kroschel, A.: Alles finden im Web (2000)
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- Date
- 9. 7.2000 14:06:22
-
Poulakos, I.: ¬"Die Leute suchen immer dasselbe" (2001)
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- Date
- 18. 1.1997 12:15:22
-
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
-
Sünkler, S.; Kerkmann, F.: How to do ... ? : Konzeption einer Spezialsuchmaschine für Tutorials (2016)
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- Content
- Vgl.: http://www.b-i-t-online.de/heft/2016-04-fachbeitrag-suenkler.pdf.
-
Ulbrich, D.: Suchmaschinenoptimierung für öffentliche Bibliotheken am Beispiel von Google (2016)
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- Content
- Vgl.: www.b-i-t-online.de/heft/2016-02-fachbeitrag-ulbrich.pdf.
-
Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Date
- 22. 6.2002 19:38:24
-
Iwazume, M.; Takeda, H.; Nishida, T.: Ontoloy-based information capturing from the Internet (1996)
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- Footnote
- Experimentelle Internet Search engine; Vgl. http://flute.aist-nara.ac.jp/doc/people/mitiak-i/Demo/IICA_demo1.html oder: http://ai-www.aist-nara.ac.jp/doc/people/mitiak-i/Demo/IICA_demo.html
-
Sünkler, S.; Kerkmann, F.; Schultheiß, S.: Ok Google . the end of search as we know it : sprachgesteuerte Websuche im Test (2018)
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- Content
- Vgl.: https://www.b-i-t-online.de/heft/2018-01-index.php.
-
Koch, T.: Quality-controlled subject gateways : definitions, typologies, empirical overview (2000)
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- Date
- 22. 6.2002 19:37:55
-
Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998)
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- Date
- 25.12.1998 19:22:51
-
Rowlands, I.; Nicholas, D.; Williams, P.; Huntington, P.; Fieldhouse, M.; Gunter, B.; Withey, R.; Jamali, H.R.; Dobrowolski, T.; Tenopir, C.: ¬The Google generation : the information behaviour of the researcher of the future (2008)
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- Footnote
- Vgl. auch: Rowlands, I.: Google generation: issues in information literacy. In: http://www.lucis.me.uk/retrieval%20issues.pdf.
-
Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005)
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- Abstract
- PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.
- Date
- 16. 1.2016 10:22:28
-
Duval, B.K.; Main, L.: Searching the Internet : part 2 trail-blazers (1997)
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- Content
- T.1 u.d.T.: Searching the Net: general overview in: 15(1996) no.4
- Date
- 6. 3.1997 16:22:15
-
Fischer, T.; Neuroth, H.: SSG-FI - special subject gateways to high quality Internet resources for scientific users (2000)
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- Date
- 22. 6.2002 19:40:42
-
Large, A.; Beheshti, J.; Rahman, T.: Design criteria for children's Web portals : the users speak out (2002)
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- Date
- 2. 6.2005 10:34:22
-
Nicholson, S.; Sierra, T.; Eseryel, U.Y.; Park, J.-H.; Barkow, P.; Pozo, E.J.; Ward, J.: How much of it is real? : analysis of paid placement in Web search engine results (2006)
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- Date
- 22. 7.2006 16:32:57
-
Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : Il. An evaluation by undergraduates (2003)
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- Abstract
- This paper presents an application of the model described in Part I to the evaluation of Web search engines by undergraduates. The study observed how 36 undergraduate used four major search engines to find information for their own individual problems and how they evaluated these engines based an actual interaction with the search engines. User evaluation was based an 16 performance measures representing five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Non-performance (user-related) measures were also applied. Each participant searched his/ her own topic an all four engines and provided satisfaction ratings for system features and interaction and reasons for satisfaction. Each also made relevance judgements of retrieved items in relation to his/her own information need and participated in post-search Interviews to provide reactions to the search results and overall performance. The study found significant differences in precision PR1 relative recall, user satisfaction with output display, time saving, value of search results, and overall performance among the four engines and also significant engine by discipline interactions an all these measures. In addition, the study found significant differences in user satisfaction with response time among four engines, and significant engine by discipline interaction in user satisfaction with search interface. None of the four search engines dominated in every aspect of the multidimensional evaluation. Content analysis of verbal data identified a number of user criteria and users evaluative comments based an these criteria. Results from both quantitative analysis and content analysis provide insight for system design and development, and useful feedback an strengths and weaknesses of search engines for system improvement
- Date
- 24. 1.2004 18:27:22
- Footnote
- Teil I im selben Heft
-
Huvila, I.: Affective capitalism of knowing and the society of search engine (2016)
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- Date
- 20. 1.2015 18:30:22
-
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/.
