E. Amitay and C. Paris. Automatically summarising web sites: is there a way around it? In Proceedings of the 9th international conference on Information and knowledge management, pages 173--179, New York, NY, USA, 2000. ACM Press. Home/Search Document Details and Download
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The Design And Evaluation Of Web Prefetching and Caching Techniques - Davison (2002) (1 citation) (Correct)
....the eleventh and twelfth most popular, perhaps reflecting the increasing commercialization of the Web. Table 5. 2 contains a list of the most frequent content bearing bigrams (i.e. adjacent terms not containing articles, prepositions, conjunctions, or forms of the verb to be) Amitay [Ami00, AP00, Ami01] has built a system call InCommonSense to automatically extract the descriptions that people write about other pages to use as summaries (e.g. for page descriptions in search engine results) This approach (implicitly using paragraph writing conventions) is likely to be more robust that ....
....and more specifically, that the anchor text was a reasonable descriptor for the page to which it pointed. Many applications already take advantage of this Web characteristic (e.g. for indexing terms not on a target page [Goo02, BP98] or to extract high quality descriptions of a page [Ami98, AP00] In this work we will examine in detail another application of this result. Our motivating goal is to accurately predict the next request that an individual user is likely to make on the WWW. Therefore, this chapter examines the value of 106 using Web page content to make predictions for what ....
[Article contains additional citation context not shown here]
Einat Amitay and Cecile Paris. Automatically summarising Web sites --- Is there a way around it?. In Proceedings of the Ninth ACM International Conference on Information and Knowledge Management (CIKM 2000), Washington, DC, November 2000.
Predicting Web Actions from HTML Content - Davison (2002) (10 citations) (Correct)
.... content, and more specifically, that the anchor text was a reasonable descriptor for the page to which it pointed [20] Many applications already take advantage of this Web characteristic (e.g. for indexing terms not on a target page [33, 8] or to extract high quality descriptions of a page [2, 3]) In this work we will examine in detail another application of this result. Our motivating goal is to accurately predict the next request that an individual user is likely to make on the WWW. Therefore, this paper examines the value of using Web page content to make predictions for what will be ....
....integrated into a browser, or operating at a proxy, has access to the content of the pages served to the user. Given a particular page, the external links that it contains can be extracted. The anchor and surrounding text can be used as a description of the page (as shown in [20] and used in [2, 3]) Given a set of links and their descriptions, the problem is then how to rank them. Ideally, we would have a model of a user s interest and the current context in which the user is found (e.g. as in [9] One approach is to explicitly ask the user about their current interest, as done in ....
E. Amitay and C. Paris. Automatically Summarising Web Sites - Is There A Way Around It?. In Proceedings of the Ninth ACM International Conference on Information and Knowledge Management (CIKM 2000.
Finding a Document Subject Based on Cited and Citing Documents - Drori (2001) (Correct)
....are relatively accurate, they require extensive use of human resources. There is a need for computerized classification that will enable cataloging a vast quantity of documents from different sources. For more information about methods for automatically summarizing Internet web sites, see [1]. A software tool was developed for the study to automatically analyze the text of required documents on a statistical linguistics basis, and output all the significant words in the document, which effectively constitute the subject of the document. This article describes the preliminary results ....
Amitay, E., Paris, C., Automatically Summarising Web Sites - Is there A Way Around it?, ACM 9th International Conference On Information and Knowledge Management (CIKM 2000), Washington DC, USA, 173-179.
Enhanced Web Document Summarization Using Hyperlinks - Delort, Rifqi (2003) (1 citation) Self-citation (Paris) (Correct)
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E. Amitay and C. Paris. Automatically Summarising Web Sites - Is There A Way Around It? In Proceedings of the ACM 9th International Conference on Information and Knowledge Management CIKM, pages 173--179, 2000.
Web-Page Summarization Using Clickthrough Data - Jian-Tao Sun Tsinghua (Correct)
No context found.
E. Amitay and C. Paris. Automatically summarising web sites: is there a way around it? In Proceedings of the 9th international conference on Information and knowledge management, pages 173--179, New York, NY, USA, 2000. ACM Press.
Citances: Citation Sentences for Semantic Analysis of.. - Nakov, Schwartz, Hearst (Correct)
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E. Amitay and C. Paris. Automatically summarising web sites: is there a way around it? In Proceedings of the ninth international conference on Information and knowledge management, pages 173--179. ACM Press, 2000.
Learning Web Request Patterns - Davison (2004) (1 citation) (Correct)
No context found.
Einat Amitay and Cecile Paris. Automatically summarising Web sites --- is there a way around it? In Proceedings of the Ninth ACM International Conference on Information and Knowledge Management (CIKM 2000), Washington, DC, November 2000.
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