-
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
-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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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/.
-
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
-
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.
-
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
-
Loia, V.; Pedrycz, W.; Senatore, S.; Sessa, M.I.: Web navigation support by means of proximity-driven assistant agents (2006)
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- Abstract
- The explosive growth of the Web and the consequent exigency of the Web personalization domain have gained a key position in the direction of customization of the Web information to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user's navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content, and user profile data. This work presents an agent-based framework designed to help a user in achieving personalized navigation, by recommending related documents according to the user's responses in similar-pages searching mode. Our agent-based approach is grounded in the integration of different techniques and methodologies into a unique platform featuring user profiling, fuzzy multisets, proximity-oriented fuzzy clustering, and knowledge-based discovery technologies. Each of these methodologies serves to solve one facet of the general problem (discovering documents relevant to the user by searching the Web) and is treated by specialized agents that ultimately achieve the final functionality through cooperation and task distribution.
- Date
- 22. 7.2006 16:59:13
-
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
-
Knight, J.P.: Resource discovery on the Internet (1996)
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- Abstract
- Resource discovery is the problem of locating, and keeping track of, documents and other resources available on the Internet. Investigates some of the techniques that are currently being employed to help solve this problem. These include manually created catalogue records, centralized robot indexes, distributed indexing technology and author supplied metadata
-
MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000)
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- Date
- 22. 6.2002 19:40:22
-
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
-
Bawden, D.: Google and the universe of knowledge (2008)
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- Date
- 7. 6.2008 16:22:20
-
Xie, M.; Wang, H.; Goh, T.N.: Quality dimensions of Internet search engines (1998)
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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
-
Granum, G.; Barker, P.: ¬An EASIER way to search online engineering resource (2000)
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- Abstract
- EEVL consists of several distinct resources, which exist as separate databases. This article describes the approach taken to tackle a particular problem that was identified through evaluation studies, namely, that searches of the EEVL catalogue too frequently matched nor records. The solution described in this paper is a cross-search facility for 3 of the EEVL databases
-
Hock, R.E.: How to do field searching in Web search engines : a field trip (1998)
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- Source
- Online. 22(1998) no.3, S.18-22
-
Perkins, M.: Why don't search engines work better? (1997)
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- Abstract
- Despite the proliferation of new search engines and improvements to existing ones, their use with the WWW continues to produce innumerable false hits. The reason for this is that HTML is mainly a presentation tool, and does a fairly poor job of describing the contents of a document while search engines are a long way from artificial intelligence. The use of SGML would ease the problem considerably, but is much more complex and time consuming to learn to be of general use. The alternative 'metadata' approach is proving slow to get off the ground. Researchers are investigating these and various other lines of enquiry
-
Hock, R.: Search engines (2009)
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- Abstract
- This entry provides an overview of Web search engines, looking at the definition, components, leading engines, searching capabilities, and types of engines. It examines the components that make up a search engine and briefly discusses the process involved in identifying content for the engines' databases and the indexing of that content. Typical search options are reviewed and the major Web search engines are identified and described. Also identified and described are various specialty search engines, such as those for special content such as video and images, and engines that take significantly different approaches to the search problem, such as visualization engines and metasearch engines.
-
Price, A.: Five new Danish subject gateways under development (2000)
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- Date
- 22. 6.2002 19:41:31
