-
Birmingham, J.: Internet search engines (1996)
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- Abstract
- Basically a good listing in table format of features from the major search engines
- Content
- Darstellung zu verschiedenen search engines des Internet
- Date
- 10.11.1996 16:36:22
- Source
- http://www.stark.k12.oh.us/Docs/search/
-
Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999)
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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)
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- Date
- 25. 8.2005 17:42:22
-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
-
Berinstein, P.: Turning visual : image search engines on the Web (1998)
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- Abstract
- Gives an overview of image search engines on the Web. They work by: looking for graphics files; looking for a caption; looking for Web sites whose titles indicate the presence of picturres on a certain subject; or employing human intervention. Describes the image search capabilities of: AltaVista; Amazing Picture Machine (Http://www.ncrtec.org/picture.htm); HotBot; ImageSurfer (http://ipix.yahoo.com); Lycos; Web Clip Art Search Engine and WebSEEK. The search engines employing human intervention provide the best results
- Object
- Web Clip Art Search Engine
- Source
- Online. 22(1998) no.3, S.37-38,40-42
-
Conhaim, W.W.: Search tools (1996)
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- Abstract
- Describes the 3 most popular searching tools for the WWW: InfoSeek, Yahoo and Lycos. Searching Internet directories can also be a useful search technique. Lists other searching engines. Points out a number of evaluations of these search engines published on the WWW. A number of search tools are available for specialized areas. Sites are available that enable parallel searching using several tools at once. Describes WWW pages with information about search engines
- Date
- 1. 8.1996 22:39:31
-
Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997)
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- Abstract
- Presents a novel method to extract from a web object its hyper informative content, in contrast with current search engines, which only deal with the textual information content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines. It integrates with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding hyper version. Shows how the hyper information can be usefully employed to face the search engines persuasion problem
- Date
- 1. 8.1996 22:08:06
-
Hock, R.E.: How to do field searching in Web search engines : a field trip (1998)
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- Abstract
- Explains how 5 Internet search engines (AltaVista, HotBot, InfoSeek, Lycos, and Yahoo) handle field searching. Includes a chart which identifies where on a search engine's page a particular field is searched and the prefix syntax used, and gives examples. Details the individual fields that can be searched: data, title, URL, images, audiovideo and other page content, links and page depth
- Source
- Online. 22(1998) no.3, S.18-22
-
Rose, D.E.: Reconciling information-seeking behavior with search user interfaces for the Web (2006)
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- Abstract
- User interfaces of Web search engines reflect attributes of the underlying tools used to create them, rather than what we know about how people look for information. In this article, the author examines several characteristics of user search behavior: the variety of information-seeking goals, the cultural and situational context of search, and the iterative nature of the search task. An analysis of these characteristics suggests ways that interfaces can be redesigned to make searching more effective for users.
- Date
- 22. 7.2006 17:58:06
- Footnote
- Beitrag in einer Special Section "Perspectives on Search User Interfaces: Best Practices and Future Visions"
-
Sieverts, E.: Slimmerds onder de zoekmachines (1998)
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- Abstract
- Web search engines generally use best match search techniques, rather than traditional Boolean operators. Precision in searching will depend on the numbers of selected terms appearing in a document and the inclusion of less-common words in the search string. Users are, therefore, recommended to enter as many words as possible. ExCite and WebCrawler lead users from a relevant document to other documents containing similar word patterns, while MusCat and EuroFerret suggest additional keywords for searching
- Date
- 29.12.1998 11:22:34
- Footnote
- Übers. d. Titels: Top of the class among the search engines
-
Notess, G.R.: Toward more comprehensive Web searching : single searching versus megasearching (1998)
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- Abstract
- In spite of their size, the major Web indexes are not comprehensive. Considers approaches carrying out comprehensive searches, highlighting their advantages and disadvantages. In the single search tool approach, users search the largest of the databses one by one, using the command language uniqe to each to increase the precision of the esearch. In the megasearch approach, search engines use 1 form that simultaneously seands a single query to a number of search engines and then presents the results. Inference Find, Dogpile and MetaFind are examples of good metasearch engines
- Source
- Online. 22(1998) no.2, S.73-76
-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
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- Abstract
- The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
- Date
- 20. 4.2012 13:19:22
- Footnote
- Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64434.
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Fong, W.W.: Searching the World Wide Web (1996)
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- Abstract
- Reviews the availability on the WWW, of search engines designed to organize various web information sources. Discusses the differences and similarities of each search engine and their advantages and disadvantages. Search engines included in the study were: AltaVista, CUI W3 Catalog, InfoSeek, Lycos, Magellan, Yahoo
- Source
- Journal of library and information science. 22(1996) no.1, S.15-36
-
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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- Abstract
- Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
- Date
- 25.12.1998 19:22:51
-
Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997)
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- Abstract
- Proposes a new idea of searching under the multi-engine search architecture to overcome the problems associated with relevance ranking. These include clustering of the search results and extraction of co-occurence keywords, which, with the user's feedback, better refines the query in the searching process. The system also provides the construction of the concept space to gradually customize the search tool to fit the usage for the user at the same time
- Date
- 1. 8.1996 22:08:06
-
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
-
Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997)
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- Abstract
- Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
- Date
- 1. 8.1996 22:08:06
-
Bilal, D.: Children's use of the Yahooligans! Web search engine : III. Cognitive and physical behaviors on fully self-generated search tasks (2002)
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- Abstract
- Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.
-
Chen, L.-C.: Next generation search engine for the result clustering technology (2012)
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- Abstract
- Result clustering has recently attracted a lot of attention to provide the users with a succinct overview of relevant search results than traditional search engines. This chapter proposes a mixed clustering method to organize all returned search results into a hierarchical tree structure. The clustering method accomplishes two main tasks, one is label construction and the other is tree building. This chapter uses precision to measure the quality of clustering results. According to the results of experiments, the author preliminarily concluded that the performance of the system is better than many other well-known commercial and academic systems. This chapter makes several contributions. First, it presents a high performance system based on the clustering method. Second, it develops a divisive hierarchical clustering algorithm to organize all returned snippets into hierarchical tree structure. Third, it performs a wide range of experimental analyses to show that almost all commercial systems are significantly better than most current academic systems.
- Date
- 17. 4.2012 15:22:11
- Footnote
- Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64429.
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Loeper, D. von: Sherlock Holmes im Netz (1997)
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- Content
- Beitrag zu den search engines des Internet
- Date
- 22. 2.1997 19:50:29
