Search (481 results, page 3 of 25)

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Abstract

Search engines are the major means of information retrieval over the Internet. People's dependence on them increases over time as SEs introduce new and sophisticated technologies. The developments in the Artificial Intelligence (AI) will transform the current search engines Artificial Intelligence Enabled Search Engines (AIESE). Search engines already play a critical role in classifying, sorting and delivering the information over the Internet. However, as Internet's mainstream role becomes more apparent and AI technology increases the sophistication of the tools of the SEs, their roles will become much more critical. Since, the future of search engines are examined, the technological singularity concept is analyzed in detail. Second and third order indirect side effects are analyzed. A four-stage evolution-model is suggested.

Footnote

Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64436.

Source

Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a

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Abstract

Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.

Date

20. 1.2015 18:30:22

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Abstract

Compares 3 WWW search engines (AltaVista, Excite, and Lycos) in terms of their search capabilities and retrieval performances using sample queires drawn from real reference questions. AltaVista outperformed Excite and Lycos in both search facilities and retrieval performance although Lycos had the largest coverage of WWW resources among the 3 WWW search engines examined. Proposes a methodology for evaluating other WWW search engines

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Abstract

Reports a comparison of the retrieval effectiveness of the AltaVista, Excite and Lycos Web search engines. Describes a method for comparing the recall of the 3 sets of searches, despite the fact that they are carried out on non identical sets of Web pages. It is thus possible, unlike previous comparative studies of Web search engines, to consider both recall and precision when evaluating the effectiveness of search engines

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Abstract

Reviews the most common Internet search engines: AltaVista; Excite; InfoSeek; Lycos; HotBot and WebCrawler, focusing on the existing comparative studies of the search engines. Views the quality dimensions of the search engines, based on a SERVQUAL framework, in order to approach the problem from the users' viewpoint. Identifies and groups the most important quality expectations of users into 5 quality dimensions, using the SERVQUAL model: tangibles; reliability; responsiveness; assurance; and empathy

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Abstract

Enthält neben allgemeinen Kapiteln (Serach engines in general - Common search options) eine Besprechung der einzelnen Suchmaschinen und ihrer Charakteristika

LCSH

Web search engines

Subject

Web search engines

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Abstract

Presents a state of the art review of WWW search engines from the earliest Internet precursors and noting: prblems inherent in the current range of WWW search engines; problems of searching the WWW (link persistence and lack of integrated search software); and analyzing the resulting search engine types (keyword or directory). Compares search engines of all types across their generic features (database content, retrieval software, and search interface), rather than on a search engine by search engine basis. Considers wider information access issues arising from the nature of the Internet and Web search engines and proposes a general strategy for using web search engines. Comments on the irony that a unitary global information space accessible via 1 freely accessible software package (WWW client browser) should be so balkanized by a plethora of search engines in complete reverse of the traditional world of printed, CD-ROM and online databases, where a limited number and comparatively stable range of search tools attemps to homogenize a large number of physically separate and disparate collections

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Abstract

Web search engines are beginning to offer access to multimedia searching, including audio, video and image searching. In this paper we report findings from a study examining the state of multimedia search functionality on major general and specialized Web search engines. We investigated 102 Web search engines to examine: (1) how many Web search engines offer multimedia searching, (2) the type of multimedia search functionality and methods offered, such as "query by example", and (3) the supports for personalization or customization which are accessible as advanced search. Findings include: (1) few major Web search engines offer multimedia searching and (2) multimedia Web search functionality is generally limited. Our findings show that despite the increasing level of interest in multimedia Web search, those few Web search engines offering multimedia Web search, provide limited multimedia search functionality. Keywords are still the only means of multimedia retrieval, while other methods such as "query by example" are offered by less than 1% of Web search engines examined.

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Abstract

Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.

Content

"Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."

Date

22. 9.1997 19:16:05

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Abstract

To use the electronic resources of the Internet effectively, reference librarians must learn to use the various search engines to their best advantage. Describes the following Web sites which provide help for librarians in improving their Internet searching skills: the Bergen County Cooperative Library System which has links to some well-known directories and search engines; the Spider's Apprentice, which provides ratings and in-depth analysis of search engines, a FAQ document useful to the beginning searcher, and an online discussion forum; ZDNet's WebSearchUser which has feature articles, reviews and tutorials; and Search Engine Watch which reports new developments in search engines. URLs for these and other resources are given