Adding support for dynamic and focused search with Fetuccino

Ben-Shaul, Israel; Herscovici, Michael; Jacovi, Michal; Maarek, Yoelle; Pelleg, Dan; Shtalhaim, Menachem; Soroka, Vladimir; Ur, Shmuel

doi:10.1016/s1389-1286(99)00045-6

Cited by 34 publications

(28 citation statements)

References 14 publications

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“…Our analysis of the Web information retrieval literature (Aggarwal et al 2001, Amento et al 2000, Ben-Shaul et al 1999a, Bharat and Henzinger 1998, Chakrabarti et al 1998, Chakrabarti et al 1999, Chakrabarti et al 2002b, Henzinger et al 1999, Hersovici et al 1998, Najork and Wiener 2001, Silva et al 2000 and our own experience (Menczer 1997, Menczer and Belew 1998, Menczer and Belew 2000, Menczer et al 2001, Menczer 2003 indicate that in general, when embarking upon an experiment comparing crawling algorithms, several critical decisions are made. These impact not only the immediate outcome and value of the study but also the ability to make comparisons with future crawler evaluations.…”

Section: Introductionmentioning

confidence: 94%

A General Evaluation Framework for Topical Crawlers

2005

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Topical crawlers are becoming important tools to support applications such as specialized Web portals, online searching, and competitive intelligence. As the Web mining field matures, the disparate crawling strategies proposed in the literature will have to be evaluated and compared on common tasks through well-defined performance measures. This paper presents a general framework to evaluate topical crawlers. We identify a class of tasks that model crawling applications of different nature and difficulty. We then introduce a set of performance measures for fair comparative evaluations of crawlers along several dimensions including generalized notions of precision, recall, and efficiency that are appropriate and practical for the Web. The framework relies on independent relevance judgements compiled by human editors and available from public directories. Two sources of evidence are proposed to assess crawled pages, capturing different relevance criteria. Finally we introduce a set of topic characterizations to analyze the variability in crawling effectiveness across topics. The proposed evaluation framework synthesizes a number of methodologies in the topical crawlers literature and many lessons learned from several studies conducted by our group. The general framework is described in detail and then illustrated in practice by a case study that evaluates four public crawling algorithms. We found that the proposed framework is effective at evaluating, comparing, differentiating and interpreting the performance of the four crawlers. For example, we found the IS crawler to be most sensitive to the popularity of topics.

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Section: Introductionmentioning

confidence: 94%

A General Evaluation Framework for Topical Crawlers

2005

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“…Earlier in this survey, we referred to NESTOR [1] or WebOFDAV [69], which can be used as web navigation tools. Other examples in this category are the Harmony Browser [1], Mapa [32], or Fetuccino [7] (the latter also combines the results of a web search engine with graph visualization).…”

Section: Systemsmentioning

confidence: 99%

Graph visualization and navigation in information visualization: A survey

Herman

Mélançon

Marshall

2000

IEEE Trans. Visual. Comput. Graphics

1,198

719

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Abstract-This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements, which means that this survey approaches the results of traditional graph drawing from a different perspective.

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“…Many different models have been applied to information retrieval 29 , highlighting the fact that different information needs may benefit from a variety of approaches. The claim that interest groups may be able to aid searches by users of their site by automatically constructing advanced queries with additional terms to clarify context is given credence by research has shown that semantic disambiguation techniques 17,18 and the opportunity to focus a search after submitting keywords by choosing potentially relevant domains can be fruitful 30 . In support of this, one search engine has developed apparently similar logic to automatically suggest additions to a search to clarify any ambiguity, constructing a complex combined query 31 .…”

Section: Discussionmentioning

confidence: 99%

Custom interfaces for advanced queries in search engines

et al. 2001

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Those seeking information from the Internet often start from a search engine, using either its organised directory structure or its text query facility. In response to the difficulty in identifying the most relevant pages for some information needs, many search engines offer Boolean text matching and some, including Google, AltaVista and HotBot, offer the facility to integrate additional information into a more advanced request. Amongst web users, however, it is known that the employment of complex enquiries is far from universal, with very short queries being the norm. It is demonstrated that the gap between the provision of advanced search facilities and their use can be bridged, for specific information needs, by the construction of a simple interface in the form of a web site that automatically formulates the necessary requests. It is argued that this kind of resource, perhaps employing additional knowledge domain specific information, is one that could be useful for web sites or portals of common interest groups. The approach is illustrated by a web site that enables a user to search the individual web sites of university level institutions in European Union-associated countries.

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Adding support for dynamic and focused search with Fetuccino

Cited by 34 publications

References 14 publications

A General Evaluation Framework for Topical Crawlers

A General Evaluation Framework for Topical Crawlers

Graph visualization and navigation in information visualization: A survey

Custom interfaces for advanced queries in search engines

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