-
Piggott, S.: Meta-links : major search engines on the Internet (1996)
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- Abstract
- Lists 13 commercial search engines operating on the Internet with brief notes on their characteristics and facilities
-
Peterson, R.E.: Eight Internet search engines compared (1996)
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- Abstract
- Beitrag über robotergestützte search engines des Internet
-
Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications (2012)
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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
-
Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011)
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- Abstract
- This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia, a summary of the extended discussion on the quality of encyclopedic entries in general is given. On this basis, a heuristic method for evaluating Wikipedia entries is developed and applied to Wikipedia articles that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors. In all search engines tested, Wikipedia results are unanimously judged better by the jurors than other results on the corresponding results position. Relevance judgments often roughly correspond with the results from the heuristic evaluation. Cases in which high relevance judgments are not in accordance with the comparatively low score from the heuristic evaluation are interpreted as an indicator of a high degree of trust in Wikipedia. One of the systemic shortcomings of Wikipedia lies in its necessarily incoherent user model. A further tuning of the suggested criteria catalog, for instance, the different weighing of the supplied criteria, could serve as a starting point for a user model differentiated evaluation of Wikipedia articles. Approved methods of quality evaluation of reference works are applied to Wikipedia articles and integrated with the question of search engine evaluation.
- Date
- 30. 9.2012 19:27:22
-
Ojala, M.: Web search engines : search syntax and features (2002)
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-
Tomaiuolo, N.G.; Packer, J.G.: ¬An analysis of Internet search engines : assessment of over 200 search queries (1996)
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- Abstract
- Reports the results of searches on 200 topics carried out on 5 Internet search engines (Magellan, Point, Lycos, InfoSeek and AltaVista). Describes the methodology followed and the results of the study. Gives a chart showing 30 of the search queries, with the performance of each search engine. Indicates some of the limitations of the search engines
-
Lawrence, S.; Giles, C.L.: Inquirus, the NECI meta search engine (1998)
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- Abstract
- Presents Inquirus, a WWW meta search engine which works by downloading and analysing the individual documents. It makes improvements over existing search engines in a number of areas: more useful document summaries incorporating query term context, identification of both pages which no longer exist and pages which no longer contain the query terms, advanced detection of duplicate pages, improved document ranking using proximity information, dramatically improved precision for certain queries by using specific expressive forms, and quick jump links and highlighting when viewing the full document
- Date
- 1. 8.1996 22:08:06
-
Materska, K.: Faceted navigation in search and discovery tools (2014)
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- Abstract
- Background: Faceted navigation (sometimes known as faceted search, faceted browsing, or guided navigation) is the solution applied to an increasingly diverse range of search and discovery applications in the second decade of XXI century. Faceted search is now the dominant interaction paradigm for most of the e-commerce sites and becomes an important solution for universal and specialized search engines for the content-heavy sites such as media publishers, libraries and even non-profits - to make their often broad range of content more findable. Faceted search interfaces are increasingly used to support complex and iterative information-seeking tasks such as exploratory search. These interfaces provide clickable categories in conjunction with search result lists so that searchers can narrow and browse the results without reformulating their queries. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Faceted search interfaces are presented as an answer to the investigative nature, uncertainty and ambiguity in exploratory search tasks. Objectives: The interesting research questions are: What is the scale of faceted navigating in search and discovery application? Is faceted search intuitive information finding? How faceted search tools affect searcher behavior - the tactics searchers use when querying, looking at search results, and selecting them? What are the key benefits and weaknesses of faceted navigating for users? In what sense faceted navigation is the panacea for information overload? What faceted implementations are the most prominent? What are the most important findings in the field of faceted search for the development of knowledge organization and information science? Methods: To answer research questions listed above, multiple methods will be applied: the conceptual analysis (to clarify the concept of faceted navigation); selected aspects of information seeking and exploratory search will be subject to critical literature review; critical analysis of some user studies will be performed. Case studies of several search and discovery tools will be used to exemplify concrete solutions in them. Findings: The study explores faceted navigation and reveals the most actual solutions in modern search engines, discovery tools, library catalogs. It attempts to explain specific features of this method from the users' perspective, not information architects. It helps knowledge organization specialists to confront theory with users' practice and propose new efficient support for information environments.
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Balas, J.: ¬The importance of mastering search engines (1998)
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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
-
Milonas, E.: ¬The use of facets in Web search engines
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- Abstract
- The World Wide Web consists of a plethora of information that a Web searcher can retrieve via Web search engines such as Google. These Web search engines display an insurmountable amount of information in a seemingly unorganized linear format. Recently, some Web search engines have incorporated facets or terms alongside the linear display allowing the searcher the ability to narrow search results. The goal of this study is to examine the use of facets in these Web search engines.
-
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
-
Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006)
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- Abstract
- The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace's Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.
-
Chau, M.; Lu, Y.; Fang, X.; Yang, C.C.: Characteristics of character usage in Chinese Web searching (2009)
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- Abstract
- The use of non-English Web search engines has been prevalent. Given the popularity of Chinese Web searching and the unique characteristics of Chinese language, it is imperative to conduct studies with focuses on the analysis of Chinese Web search queries. In this paper, we report our research on the character usage of Chinese search logs from a Web search engine in Hong Kong. By examining the distribution of search query terms, we found that users tended to use more diversified terms and that the usage of characters in search queries was quite different from the character usage of general online information in Chinese. After studying the Zipf distribution of n-grams with different values of n, we found that the curve of unigram is the most curved one of all while the bigram curve follows the Zipf distribution best, and that the curves of n-grams with larger n (n = 3-6) had similar structures with ?-values in the range of 0.66-0.86. The distribution of combined n-grams was also studied. All the analyses are performed on the data both before and after the removal of function terms and incomplete terms and similar findings are revealed. We believe the findings from this study have provided some insights into further research in non-English Web searching and will assist in the design of more effective Chinese Web search engines.
- Date
- 22.11.2008 17:57:22
-
Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019)
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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
-
Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001)
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- Date
- 14. 6.2001 12:22:31
-
McIlwaine, I.C.: Trends in knowledge organization research (2003)
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- Abstract
- This paper looks at current trends in knowledge organization research, concentrating an universal systems, mapping vocabularies and interoperability concerns, problems of blas, the Internet and search engines, resource discovery, thesauri and visual presentation. Some Problems facing researchers at the present time are discussed. It is accompanied by a bibliography of recent work in the field.
- Date
- 10. 6.2004 19:22:56
-
Sullivan D.: ¬The major search engines (1998)
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-
Sullivan D.: How search engines rank web pages (1998)
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-
Sullivan D.: How search engines work (1998)
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-
Barlow, L.: ¬The spider's apprentice : how to use Web search engines (1997)
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