E. Selberg and O. Etzioni. Multi-service search and comparison using the MetaCrawler. In Proc. WWW4, 1995.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... of this paper is: How to fuse these ranked lists together to achieve the best ranked list which is returned as a list of the top matches to q The linear combination model is extensively investigated for the fusion of information retrieval systems [6, 89] especially for text retrieval systems [45, 77, 100]. These models have proposed mechanisms to assign weights to the different types of scores to obtain a summary score for each document via training or relevance feedback. However, the heterogeneous property of the scores from different feature exaction techniques was not taken into account. For ....

E. Selberg and O. Etzioni. Multi-service search and comparison using the MetaCrawler. Proceedings of the 4th international World Wide Web Confernece, pages 195 -- 208, 1996.

....1. INTRODUCTION A significant amount of valuable information on the web is stored in databases, some of which is hidden behind search interfaces and not crawlable by traditional search engines. An attractive way to allow easy interaction with these databases is through metasearchers (e.g. [20, 7]) which provide users with a single interface to query multiple databases simultaneously. A metasearcher performs three main tasks: After receiving a query, it determines the best databases to evaluate the query (database selection) it translates the query in a suitable form for each database ....

Erik Selberg and Oren Etzioni. Multi-Service search and comparison using the MetaCrawler. In Proceedings of the Fourth International World Wide Web Conference (WWW4), 1995.

....for example, for The New York Times newspaper. One way of facilitating the access to this kind of searchable databases is to build metasearchers. A metasearcher sends user queries to many search engines, retrieves and merges the results and then returns the combined results back to the user (see [6, 12, 17, 16, 5, 11]) Alternatively, users can browse Yahoo like directories to locate databases of interest and then submit queries to these databases. Some sites have started in the last few years to provide such services. For example, InvisibleWeb and SearchEngine Guide classify various search engines into ....

Erik Selberg and Oren Etzioni. Multi-Service search and comparison using the MetaCrawler. In Proceedings of the Fourth International World-Wide Web Conference, 1995.

....6lb Text Retrieval Conference (TREC 6) the results obtained are presented and discussed. 1 Introduction A main problem with the current search engines is the large volume of documents extracted as a result of broad, general queries, and the lack of output produced to specific, narrow questions [Selberg and Etzioni 1995], Zorn, Emanoil et al. 1996] Many of the documents retrieved for general queries are totally irrelevant to the subject of interest and relevant documents may be missing because the query does not contain the exact keywords. A more refined query, with more restrictive boolean operators, may ....

....these factors usually decreases the other one, and vice versa. Two main approaches have been considered by researchers in trying to improve the quality of the search on Internet or large collections of texts. The first one is to make use of multiple search engines and create a mete search engine [Selberg and Etzioni 1995], Gravano, Chang et el. 1997] This will result in an increased number of documents, as they are retrieved based on the information stored in multiple search engine databases. The hard task in this approach is that different search engines are largely incompatible and do not always allow for ....

Selberg, E. and Etzioni, O. Multi-Service Search and Comparison Using the MetaCrawler. Proceedings of the 4th International World Wide Web Conference, 195-208, Boston, MA.

....6th Text Retrieval Conference (TREC 6) the results obtained are presented and discussed. 1 Introduction A main problem with the current search engines is the large volume of documents extracted as a result of broad, general queries, and the lack of output produced to specific, narrow questions [Selberg and Etzioni 1995], Zorn, Emanoil et al. 1996] Many of the documents retrieved for general queries are totally irrelevant to the subject of interest and relevant documents may be missing because the query does not contain the exact keywords. A more refined query, with more restrictive boolean operators, may ....

....these factors usually decreases the other one, and vice versa. Two main approaches have been considered by researchers in trying to improve the quality of the search on Internet or large collections of texts. The first one is to make use of multiple search engines and create a meta search engine [Selberg and Etzioni 1995], Gravano, Chang et al. 1997] This will result in an increased number of documents, as they are retrieved based on the information stored in multiple search engine databases. The hard task in this approach is that different search engines are largely incompatible and do not always allow for ....

Selberg, E. and Etzioni, O. Multi-Service Search and Comparison Using the MetaCrawler. Proceedings of the 4th International World Wide Web Conference, 195-208, Boston, MA.

....the target page; and that anchor text may be a useful discriminator among unseen child pages. These results present the foundations necessary for the success of many 84 proposed techniques (e.g. PPR96, Spe97] and implemented Web systems, including search and meta search engines (e.g. Inf02b, SE95, SE97, DH97c, HD97, Inf02a, ZE98, ZE99, LG98b, LG98a, Goo02, Alt02, Ink02, Fas02, McB94, Lyc02b] focused crawlers (e.g. CGMP98, CvdBD99, BSHJ 99, Men97, MB00, Lie97, RM99] linkage analyzers (e.g. BFJ96, DH99, KRRT99, FLGC02, CDR 99, BH98b, BP98, DGK IBM00, Kle98] and intelligent ....

....automated crawling, even if those pages don t rank highly based on text alone. Our analysis may help to explain the utility of anchor text usage, as well as show how likely neighboring pages are to be on the same topic. 5.3. 3 Meta search engines Meta search engines (e.g. MetaCrawler [Inf02b, SE95, SE97] SavvySearch [DH97c, HD97] which is now incorporated into Search.com, and DogPile [Inf02a] are search services that do not search an index of their own, but instead collect and compile the results of searching using other engines. While these services may do nothing more than present the ....

Erik Selberg and Oren Etzioni. Multi-service search and comparison using the MetaCrawler. In Proceedings of the Fourth International World Wide Web Conference, Boston, MA, December 1995.

....the searching process completely. Designers of search engines have been struggling with the above problem for years with better or worse results numerous methods for improving the quality of the ranked list presentation have been proposed, from simple filtering [Shakes et al. 97] or pruning [Salberg and Etzioni, 95] techniques to complex algorithms employing Artificial intelligence [Moukas and Maes, 98] Pankau et al. 99] Yet, what was clearly visible, users still needed something more understandable. Yahoo [Yahoo, 01] was the first service to provide human made directory of the Web. The reign of the ....

Selberg E., Etzioni O.: Multi-service search and comparison using the MetaCrawler, In Proceedings of the 4th World Wide Web Conference, 1995. Selberg E. W.: Towards Comprehensive Web Search, Doctoral dissertation, University of Washington, 1999. The thesis presents rationale for, and implementation of a meta-searching engine.

....retrieval systems in text databases or Web search engines. It has been demonstrated that search engines using current methods based on simple keyword matching perform poorly. The precision of these search engines is very low and their recall is inadequate. It has been demonstrated in [10] that any single web search engine provides the user with only 15 42 of the relevant documents. Furnas et al. 11] show that due to widespread synonymy and polysemy in natural languages, indexing methods based on the occurrence of single words do not perform adequately. Content based image ....

E. Selberg and O. Etzioni, Multi-service search and comparison using the metacrawler, in 4th International World Wide Web Conference, 1996.

....example, SavvySearch [Dreilinger] selects the most promising search engines automatically and then sends the user s query to the selected search engines (usually 2 or 3) in parallel. SavvySearch does very little postprocessing. For example, the resulting document lists are not merged. MetaCrawler [Selberg et al. 1995][MetaCrawler] on the other hand, sends out user s query to all search engines it handles and collates search results from all search engines. What distinguishes ProFusion from others is that it uses sophisticated yet computationally efficient post processing. 3. ProFusion 3.1 General ....

Erik Selberg, Oren Etzioni (1995). "Multi-Service Search and Comparison Using the MetaCrawler", WWW4 conference, December 1995

....about scientific communication, but in the course of her research got numbers on link rot. General ref on link rot: Cronin McKim, 1996; Harter, 1996. In her study 75 of 485 could not be found: it varied by year. 1994 50 link rot. 1995 33 . 1996 24 . 1997 15 . 1998 10 . Selberg and Etzioni [99] found in 1995 that in the search results returned by popular search engines, 14.9 of the URLs were no longer reachable. Brewster Kahle in 1997 estimated that 600GB of the Web changes every month[65] and that the average lifetime of a URL is 44 days. Moreover, Cho 17 and Garcia Molina find that ....

E. Selberg and O. Etzioni. Multi-service search and comparison using the metacrawler. In Proceedings of the Fourth International World-Wide Web Conference, Boston, MA, 1995.

....that directly contradict RBPR s heuristic assumption that a visitor s information needs can be approximated by the referrer terms. For example, in the Levy example, the metacrawler term extracted in URL only mode could lead RBPR to incorrectly suggest Selberg and Etzioni s work on meta searching [9], which is also described in the UW CS E web. 4 Evaluation Despite these complications and subtleties, our experiments demonstrate that referrer based page recommendation represents interesting progress toward the goal of zero input personalization. Before we can describe our experiments, we ....

E. Selberg and O. Etzioni. Multi-service search and comparison using the metacrawler. In Proc. 4th World Wide Web Conf., pages 195--208, 1995.

....of web pages, a page interest estimator, learned from the user s access behavior, characterizes the interests of a user. A web access graph summarizes the web page access patterns of a user. To provide personalized on line search, our search engine consults multiple existing search engines ([38, 39]) collates the returned records, and ranks them according to the user profile. Using similar search techniques, recommendation and prefetching of interesting pages are performed off line at night. In this article we focus on PIE s (Section 2) and investigate how a user s interest of a page can ....

E. Selberg and O. Etzioni. Multi-service search and comparison using the metacrawler. In Proc. WWW4, 1995.

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E. Selberg and O. Etzioni. Multi-service search and comparison using the MetaCrawler. In Proc. WWW4, 1995.

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SELBERG, E. and ETZIONI, O. 1995. Multi-Service Search and Comparison Using the MetaCrawler. In Proceedings of 4th International World-Wide Web Conference. Boston, Massachusetts, USA.

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Selberg, E. and Etzioni, O. (1995). Multi-Service Search and Comparison using the MetaCrawler. Proceedings of the 4th World Wide Web Conference, Boston, MA, USA, December 1995.

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E. Selberg and O. Etzioni. "MultiService Search and Comparison Using the MetaCrawler". In Proceedings of the 1995.

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E. Selberg and O. Etzioni. Multi-service search and comparison using the MetaCrawler. In Proceedings of WWW, Darmstadt, Germany, December 1995.

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E. Selberg and O. Etzioni. "MultiService Search and Comparison Using the MetaCrawler". In Proceedings of the 1995.

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Erik Selberg and Oren Eztioni. Multi-service search and comparison using the MetaCrawler. In Proceedings of the Fourth InternationalWorld Wide Web Conference, Boston, December 1995. http://www.w3.org/pub/Conferences/WWW4/- Papers/169.

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Erik Selberg, Oren Etzioni, "Multi-Service Search and Comparison Using the MetaCrawler," WWW4 conference, December 1995.

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E. Selberg and O. Etzioni. "MultiService Search and Comparison Using the MetaCrawler". In Proceedings of the 1995.

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Selberg & Etzioni, Multi-Service Search and Comparison Using the MetaCrawler, 1995.

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Erik Selberg and Oren Etzioni. Multi-service search and comparison using the MetaCrawler. In Proceedings of the 4th International WWW Conference, Boston, Mass., December 1995.

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Selberg, E., Etzioni, O. Multi-Service Search and Comparison Using the MetaCrawler. Proceedings of the Fourth International World Wide Web Conference, Boston, MA, 1995.

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Selberg, E. and Etzioni, O.: Multi-Service Search and Comparison using the MetaCrawler. In Proceedings of the 4th World Wide Web Conference, Boston, MA USA, December 1995.

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