Search (93 results, page 1 of 5)

Price, A.: NOVAGate : a Nordic gateway to electronic resources in the forestry, veterinary and agricultural sciences (2000) 0.05

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Date: 22. 6.2002 19:41:00
Location: N

Head, M.; Archer, N.; Yuan, Y.: World Wide Web navigation aid (2000) 0.03

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Guarino, N.; Masolo, C.; Vetere, G.: OntoSeek : content-based access to the Web (1999) 0.03

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Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.03

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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/.

Gencosman, B.C.; Ozmutlu, H.C.; Ozmutlu, S.: Character n-gram application for automatic new topic identification (2014) 0.03
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Abstract

The widespread availability of the Internet and the variety of Internet-based applications have resulted in a significant increase in the amount of web pages. Determining the behaviors of search engine users has become a critical step in enhancing search engine performance. Search engine user behaviors can be determined by content-based or content-ignorant algorithms. Although many content-ignorant studies have been performed to automatically identify new topics, previous results have demonstrated that spelling errors can cause significant errors in topic shift estimates. In this study, we focused on minimizing the number of wrong estimates that were based on spelling errors. We developed a new hybrid algorithm combining character n-gram and neural network methodologies, and compared the experimental results with results from previous studies. For the FAST and Excite datasets, the proposed algorithm improved topic shift estimates by 6.987% and 2.639%, respectively. Moreover, we analyzed the performance of the character n-gram method in different aspects including the comparison with Levenshtein edit-distance method. The experimental results demonstrated that the character n-gram method outperformed to the Levensthein edit distance method in terms of topic identification.

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Iivonen, M.; White, M.D.: ¬The choice of initial web search strategies : a comparison between Finnish and American searchers (2001) 0.02
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Abstract

This paper uses a mix of qualitative and quantitative methodology to analyse differences between Finnish and American web searchers (n=27 per country) in their choice of initial search strategies (direct address, subject directory and search engines) and their reasoning underlying these choices, with data gathered via a questionnaire. The paper looks at these differences for four types of questions with two variables: closed/open and predictable/unpredictable source of answer (n=16 questions per searcher; total n=864 questions). The paper found significant differences between the two groups' initial search strategies and for three of the four types of questions. The reasoning varied across countries and questions as well, with Finns mentioning fewer reasons although both groups mentioned in aggregate a total of 1,284 reasons in twenty-four reason categories. The reasoning indicated that both country groups considered not only question-related reasons but also source- and search-strategy related reasons in making their decision. The research raises questions about considering cultural differences in designing web search access mechanisms.

Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.02

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MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.02

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Date: 22. 6.2002 19:40:22

Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.02

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Source: Computers in libraries. 19(1999) no.5, S.22-28

Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02

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Date: 25. 8.2005 17:42:22

Dunning, A.: Do we still need search engines? (1999) 0.02

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Source: Ariadne. 1999, no.22

Bawden, D.: Google and the universe of knowledge (2008) 0.02

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Date: 7. 6.2008 16:22:20

Ford, N.; Miller, D.; Moss, N.: ¬The role of individual differences in Internet searching : an empirical study (2001) 0.02

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Carroll, N.: Search engine optimization (2009) 0.02

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Birmingham, J.: Internet search engines (1996) 0.02

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Date: 10.11.1996 16:36:22

Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.02

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Source: Online. 22(1998) no.3, S.18-22

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) 0.02
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Abstract

Across the world, millions of users interact with search engines every day to satisfy their information needs. As the Web grows bigger over time, such information needs, manifested through user search queries, also become more complex. However, there has been no systematic study that quantifies the structural complexity of Web search queries. In this research, we make an attempt towards understanding and characterizing the syntactic complexity of search queries using a multi-pronged approach. We use traditional statistical language modeling techniques to quantify and compare the perplexity of queries with natural language (NL). We then use complex network analysis for a comparative analysis of the topological properties of queries issued by real Web users and those generated by statistical models. Finally, we conduct experiments to study whether search engine users are able to identify real queries, when presented along with model-generated ones. The three complementary studies show that the syntactic structure of Web queries is more complex than what n-grams can capture, but simpler than NL. Queries, thus, seem to represent an intermediate stage between syntactic and non-syntactic communication.

Kriewel, S.; Klas, C.P.; Schaefer, A.; Fuhr, N.: DAFFODIL : strategic support for user-oriented access to heterogeneous digital libraries (2004) 0.02

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Lossau, N.: Search engine technology and digital libraries : libraries need to discover the academic internet (2004) 0.02

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Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.02
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Abstract

This representative study of German search engine users (N?=?1,000) focuses on the ability of users to distinguish between organic results and advertisements on Google results pages. We combine questions about Google's business with task-based studies in which users were asked to distinguish between ads and organic results in screenshots of results pages. We find that only a small percentage of users can reliably distinguish between ads and organic results, and that user knowledge of Google's business model is very limited. We conclude that ads are insufficiently labelled as such, and that many users may click on ads assuming that they are selecting organic results.

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