-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Abstract
- In this paper, we present two ways to improve the precision of HITS-based algorithms onWeb documents. First, by analyzing the limitations of current HITS-based algorithms, we propose a new weighted HITS-based method that assigns appropriate weights to in-links of root documents. Then, we combine content analysis with HITS-based algorithms and study the effects of four representative relevance scoring methods, VSM, Okapi, TLS, and CDR, using a set of broad topic queries. Our experimental results show that our weighted HITS-based method performs significantly better than Bharat's improved HITS algorithm. When we combine our weighted HITS-based method or Bharat's HITS algorithm with any of the four relevance scoring methods, the combined methods are only marginally better than our weighted HITS-based method. Between the four relevance scoring methods, there is no significant quality difference when they are combined with a HITS-based algorithm.
- 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/.
- Source
- WWW '02: Proceedings of the 11th International Conference on World Wide Web, May 7-11, 2002, Honolulu, Hawaii, USA
-
Smith, A.G.: Search features of digital libraries (2000)
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- Abstract
- Traditional on-line search services such as Dialog, DataStar and Lexis provide a wide range of search features (boolean and proximity operators, truncation, etc). This paper discusses the use of these features for effective searching, and argues that these features are required, regardless of advances in search engine technology. The literature on on-line searching is reviewed, identifying features that searchers find desirable for effective searching. A selective survey of current digital libraries available on the Web was undertaken, identifying which search features are present. The survey indicates that current digital libraries do not implement a wide range of search features. For instance: under half of the examples included controlled vocabulary, under half had proximity searching, only one enabled browsing of term indexes, and none of the digital libraries enable searchers to refine an initial search. Suggestions are made for enhancing the search effectiveness of digital libraries; for instance, by providing a full range of search operators, enabling browsing of search terms, enhancement of records with controlled vocabulary, enabling the refining of initial searches, etc.
- Content
- Enthält eine Zusammenstellung der Werkzeuge und Hilfsmittel des Information Retrieval
-
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
-
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
- Footnote
- Part of an issue devoted to electronic resources and their use in libraries, from the viewpoint of reference services, with an emphasis on the Internet and Geographic Information Systems
-
Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998)
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- Abstract
- Creates an open, metadata aware system for distributed, collaborative WWW indexing. The system has 3 main components: a harvester (for collecting information), a database (for making the collection searchable), and a user interface (for making the information available). all components can be distributed across networked computers, thus supporting scalability. The system is metadata aware and thus allows searches on several fields including title, document author and URL. Nordic Web Index (NWI) is an application using this system to create a regional Nordic Web-indexing service. NWI is built using 5 collaborating service points within the Nordic countries. The NWI databases can be used to build additional services
- Date
- 1. 8.1996 22:08:06
- Footnote
- Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Fluhr, C.: Crosslingual access to photo databases (2012)
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- Abstract
- This paper is about search of photos in photo databases of agencies which sell photos over the Internet. The problem is far from the behavior of photo databases managed by librarians and also far from the corpora generally used for research purposes. The descriptions use mainly single words and it is well known that it is not the best way to have a good search. This increases the problem of semantic ambiguity. This problem of semantic ambiguity is crucial for cross-language querying. On the other hand, users are not aware of documentation techniques and use generally very simple queries but want to get precise answers. This paper gives the experience gained in a 3 year use (2006-2008) of a cross-language access to several of the main international commercial photo databases. The languages used were French, English, and German.
- Date
- 17. 4.2012 14:25:22
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Garcés, P.J.; Olivas, J.A.; Romero, F.P.: Concept-matching IR systems versus word-matching information retrieval systems : considering fuzzy interrelations for indexing Web pages (2006)
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- Abstract
- This article presents a semantic-based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of concept is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy-Based Concept Representation Model (FIS-CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz-mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.
- Date
- 22. 7.2006 17:14:12
- Footnote
- Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.564-576
-
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
- Footnote
- Contribution to a special issue of papers from the 6th International World Wide Web conference, held 7-11 Apr 1997, Santa Clara, California
-
Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005)
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- Abstract
- This paper talks about several schemes for improving retrieval effectiveness that can be used in the named page finding tasks of web information retrieval (Overview of the TREC-2002 web track. In: Proceedings of the Eleventh Text Retrieval Conference TREC-2002, NIST Special Publication #500-251, 2003). These methods were applied on top of the basic information retrieval model as additional mechanisms to upgrade the system. Use of the title of web pages was found to be effective. It was confirmed that anchor texts of incoming links was beneficial as suggested in other works. Sentence-query similarity is a new type of information proposed by us and was identified to be the best information to take advantage of. Stratifying and re-ranking the retrieval list based on the maximum count of index terms in common between a sentence and a query resulted in significant improvement of performance. To demonstrate these facts a large-scale web information retrieval system was developed and used for experimentation.
-
Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012)
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- Abstract
- This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
- Date
- 20. 4.2012 13:22:37
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006)
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- Abstract
- The World Wide Web is a popular and interactive medium used to collect, disseminate, and access an increasingly huge amount of information, which constitutes the mainstay of the so-called information and knowledge society. Because of its spectacular growth, related to both Web resources (pages, sites, and services) and number of users, the Web is nowadays the main information repository and provides some automatic systems for locating, accessing, and retrieving information. However, an open and crucial question remains: how to provide fast and effective retrieval of the information relevant to specific users' needs. This is a very hard and complex task, since it is pervaded with subjectivity, vagueness, and uncertainty. The expression soft computing refers to techniques and methodologies that work synergistically with the aim of providing flexible information processing tolerant of imprecision, vagueness, partial truth, and approximation. So, soft computing represents a good candidate to design effective systems for information access and retrieval on the Web. One of the most representative tools of soft computing is fuzzy set theory. This special topic section collects research articles witnessing some recent advances in improving the processes of information access and retrieval on the Web by using soft computing tools, and in particular, by using fuzzy sets and/or integrating them with other soft computing tools. In this introductory article, we first review the problem of Web retrieval and the concept of soft computing technology. We then briefly introduce the articles in this section and conclude by highlighting some future research directions that could benefit from the use of soft computing technologies.
- Date
- 22. 7.2006 16:59:33
- Footnote
- Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.511-514
-
Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Abstract
- The current subject gateways have evolved over time when the discipline of Internet resource discovery was in its infancy. This is reflected by the lack of well-established, light-weight, deployable, easy-to-use, standards for metadata and information retrieval. We provide an introduction to the architecture, standards and software solutions in use by subject gateways, and to the issues that must be addressed to support future subject gateways
- Date
- 22. 6.2002 19:38:24
-
Roux, M.: Metadata for search engines : what can be learned from e-Sciences? (2012)
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- Abstract
- E-sciences are data-intensive sciences that make a large use of the Web to share, collect, and process data. In this context, primary scientific data is becoming a new challenging issue as data must be extensively described (1) to account for empiric conditions and results that allow interpretation and/or analyses and (2) to be understandable by computers used for data storage and information retrieval. With this respect, metadata is a focal point whatever it is considered from the point of view of the user to visualize and exploit data as well as this of the search tools to find and retrieve information. Numerous disciplines are concerned with the issues of describing complex observations and addressing pertinent knowledge. In this paper, similarities and differences in data description and exploration strategies among disciplines in e-sciences are examined.
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Bilal, D.: Web search engines for children : a comparative study and performance evaluation of Yahooligans!, AskJeeves for Kids, and Super Snooper (1999)
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- Abstract
- This study compared the search features and retrieval performance of Yahooligans!, Ask Jeeves for Kids, and Super Snooper on identical searches. This extended the earlier research conducted by Bilal (1999), which examined the cognitive, affective, and physical behaviors of twenty-two 7th grade science students' use of Yahooligans! search engine. The three types of searches the students formulated in Yahooligans! on an imposed fact-driven query were here conducted in Ask Jeeves for Kids and Super Snooper. The retrieval performance criteria of the three engines included: (1) retrieval output, (2) relevance, (3) overlap in results, and (4) redundancy. A matrix of features (e.g., database coverage, search interface, search capabilities, retrieval interface, filtering, feedback, online help, FAQs, and advertisements) was developed to compare the engines. The performance of the natural language capability embedded in Ask Jeeves for Kids was evaluated by comparing the results retrieved directly from Yahooligans! to those Ask Jeeves for Kids returned from Yahooligans! on identical searches.The. results shed light on the strengths and weaknesses of each engine and appropriateness to specific types of queries. Yahooligans! was the most effective on keyword searching. Super Snooper returned the highest number of hits but with zero relevance on all types of searches. Ask Jeeves for Kids was successful only on one keyword search and failed both the natural language phrase and multiple keyword. Implications are made for improving the engines' design, retrieval performance, and search features, as well as for user instruction
- Series
- Proceedings of the American Society for Information Science; vol. 36
- Source
- Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
-
Duval, B.K.; Main, L.: Searching the Internet : part 2 trail-blazers (1997)
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- Abstract
- Presents a guide to searching for information on the Internet covering Research-It; familiar quotations: a collection of passages, phrases and proverbs traced to their sources in ancient and modern literature by John Bartlett; the Internet Public Library Reference Center; SearchERIC Database; Britannica Online; Britannica's Lives; The complete works of William Shakespeare; Flicks/Movie Schedules and Reviews; the Electronic Newsstand; CNN Interactive; Time Warner's Pathfinder; Electronic Newspapers from all 50 States; Yahoo, News; Newspapers; Techweb; ZDNet; the On-line Books Page; Columbia University Bartleby Library; the Children's Literature Web Guide; National Institutes of Health; US Census Bureau; Earthquake Info; US Postal Service Zip+4 Lookup; the Federal Web Locator; World Wide Web Virtual Library; US Government Information Sources; Index of the Constitution of the US; US States Code; Find California Code; Dearch for Bills; California Tenant's Rights; The Online Career Center; QuickAID Home Page; City.Net; Netscape's Destinations Button; International Telephone Directory; World Alumni Net; Archives of Adoptees and Birth Parents; and World Wide Registry Matching Adoptees with Birth Parents
- Date
- 6. 3.1997 16:22:15
-
Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007)
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- Abstract
- Understanding what kinds of Web pages are the most useful for Web search engine users is a critical task in Web information retrieval (IR). Most previous works used hyperlink analysis algorithms to solve this problem. However, little research has been focused on query-independent Web data cleansing for Web IR. In this paper, we first provide analysis of the differences between retrieval target pages and ordinary ones based on more than 30 million Web pages obtained from both the Text Retrieval Conference (TREC) and a widely used Chinese search engine, SOGOU (www.sogou.com). We further propose a learning-based data cleansing algorithm for reducing Web pages that are unlikely to be useful for user requests. We found that there exists a large proportion of low-quality Web pages in both the English and the Chinese Web page corpus, and retrieval target pages can be identified using query-independent features and cleansing algorithms. The experimental results showed that our algorithm is effective in reducing a large portion of Web pages with a small loss in retrieval target pages. It makes it possible for Web IR tools to meet a large fraction of users' needs with only a small part of pages on the Web. These results may help Web search engines make better use of their limited storage and computation resources to improve search performance.
- Footnote
- Beitrag eines Themenschwerpunktes "Mining Web resources for enhancing information retrieval"
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1884-1898
-
Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000)
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- Abstract
- This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored
- Date
- 22. 6.2002 19:39:23
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Munson, K.I.: Internet search engines : understanding their design to improve information retrieval (2000)
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- Abstract
- The relationship between the methods currently used for indexing the World Wide Web and the programs, languages, and protocols on which the World Wide Web is based is examined. Two methods for indexing the Web are described, directories being briefly discussed while search engines are considered in detail. The automated approach used to create these tools is examined with special emphasis on the parts of a document used in indexing. Shortcomings of the approach are described. Suggestions for effective use of Web search engines are given
- Source
- Journal of Internet cataloging. 2(2000) nos.3/4, S.47-60
-
Wills, R.S.: Google's PageRank : the math behind the search engine (2006)
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- Abstract
- Approximately 91 million American adults use the Internet on a typical day The number-one Internet activity is reading and writing e-mail. Search engine use is next in line and continues to increase in popularity. In fact, survey findings indicate that nearly 60 million American adults use search engines on a given day. Even though there are many Internet search engines, Google, Yahoo!, and MSN receive over 81% of all search requests. Despite claims that the quality of search provided by Yahoo! and MSN now equals that of Google, Google continues to thrive as the search engine of choice, receiving over 46% of all search requests, nearly double the volume of Yahoo! and over four times that of MSN. I use Google's search engine on a daily basis and rarely request information from other search engines. One day, I decided to visit the homepages of Google. Yahoo!, and MSN to compare the quality of search results. Coffee was on my mind that day, so I entered the simple query "coffee" in the search box at each homepage. Table 1 shows the top ten (unsponsored) results returned by each search engine. Although ordered differently, two webpages, www.peets.com and www.coffeegeek.com, appear in all three top ten lists. In addition, each pairing of top ten lists has two additional results in common. Depending on the information I hoped to obtain about coffee by using the search engines, I could argue that any one of the three returned better results: however, I was not looking for a particular webpage, so all three listings of search results seemed of equal quality. Thus, I plan to continue using Google. My decision is indicative of the problem Yahoo!, MSN, and other search engine companies face in the quest to obtain a larger percentage of Internet search volume. Search engine users are loyal to one or a few search engines and are generally happy with search results. Thus, as long as Google continues to provide results deemed high in quality, Google likely will remain the top search engine. But what set Google apart from its competitors in the first place? The answer is PageRank. In this article I explain this simple mathematical algorithm that revolutionized Web search.
-
Markey, K.: Twenty-five years of end-user searching : part 1: research findings (2007)
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- Abstract
- This is the first part of a two-part article that reviews 25 years of published research findings on end-user searching in online information retrieval (IR) systems. In Part 1 (Markey, 2007), the author seeks to answer the following questions: What characterizes the queries that end users submit to online IR systems? What search features do people use? What features would enable them to improve on the retrievals they have in hand? What features are hardly ever used? What do end users do in response to the system's retrievals? Are end users satisfied with their online searches? Summarizing searches of online IR systems by the search features people use everyday makes information retrieval appear to be a very simplistic one-stop event. In Part 2, the author examines current models of the information retrieval process, demonstrating that information retrieval is much more complex and involves changes in cognition, feelings, and/or events during the information seeking process. She poses a host of new research questions that will further our understanding about end-user searching of online IR systems.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1071-1081
