Matches in ScholarlyData for { ?s ?p ?o. }
- item-2 hasContent micael-paquier.
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- 139 type InProceedings.
- 139 label "Why are Moved Web Pages Difficult to Find? The WISH Approach".
- 139 sameAs 139.
- 139 abstract "This paper addresses the problem of finding new locations of moved Web pages. We discuss why the content-based approach has a limitation in solving the problems and why it is important to exploit the knowledge on where to search for the pages.".
- 139 hasAuthorList authorList.
- 139 isPartOf proceedings.
- 139 keyword "Poster Session".
- 139 title "Why are Moved Web Pages Difficult to Find? The WISH Approach".
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- item-1 hasContent atsuyuki-morishima.
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- item-2 hasContent akiyoshi-nakamizo.
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- item-3 hasContent toshinari-iida.
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- item-4 hasContent shigeo-sugimoto.
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- item-5 hasContent hiroyuki-kitagawa.
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- 14 type InProceedings.
- 14 label "Rated Aspect Summarization of Short Comments".
- 14 sameAs 14.
- 14 abstract "Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses the need and challenge of automatic summarization. In many cases, each of the user-generated short comments comes with an overall rating. In this paper, we study the problem of generating a "rated aspect summary" of short comments, which is a decomposed view of the overall ratings for the major aspects so that a user could gain different perspectives towards the target entity. We formally define the problem and decompose the solution into three steps. We demonstrate the effectiveness of our methods by using eBay sellers' feedback comments. We also quantitatively evaluate each step of our methods and study how well human agree on such a summarization task. The proposed methods are quite general and can be used to generate rated aspect summary automatically given any collection of short comments each associated with an overall rating.".
- 14 hasAuthorList authorList.
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- 14 keyword "Data Mining".
- 14 title "Rated Aspect Summarization of Short Comments".
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- item-1 hasContent yue-lu.
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- item-2 hasContent chengxiang-zhai.
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- item-3 hasContent neel-sundaresan.
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- 140 type InProceedings.
- 140 label "Detecting Soft Errors by Redirection Classification".
- 140 sameAs 140.
- 140 abstract "A soft error redirection is a URL redirection to a page that returns the HTTP status code 200 (OK) but has actually no relevant content to the client request. Since such redirections degrade the performance of web search engines in many ways, it is highly desirable to remove as many of them as possible. We propose a novel approach to detect soft error redirections by analyzing redirection logs collected during crawling operation. Experimental results on huge crawl data show that our measure can classify soft error redirections effectively.".
- 140 hasAuthorList authorList.
- 140 isPartOf proceedings.
- 140 keyword "Poster Session".
- 140 title "Detecting Soft Errors by Redirection Classification".
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- item-1 hasContent taehyung-lee.
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- item-2 hasContent jinil-kim.
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- item-3 hasContent jin-wook-kim.
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- item-4 hasContent sung-ryul-kim.
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