Searching for authors named "James Caverlee" – sorted by Relevance.
10 documents found, showing 1 through 10.
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Link-based ranking of the web with source-centric collaboration
- …Abstract — Web ranking is one of the most successful and widely used collaborative computing applications, in which Web pages collaborate in the form of varying degree of relationships to assess their relative quality. Though many observe that links display strong source-centric locality, for exampl…
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QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web
- …This paper presents the QA-Pagelet as a fundamental data preparation technique for large scale data analysis of the Deep Web. To support QA-Pagelet extraction, we present the Thor framework for sampling, locating, and partioning the QA-Pagelets from the Deep Web. Two unique features of the Thor fram…
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Discovering Objects in Dynamically-Generated Web Pages
- …As the web grows, more and more content is being hidden from the reach of traditional search engines. In this paper, we present THOR, a scalable and efficient tool to mine objects from this hidden web. With precision and recall over 90%, THOR automatically extracts objects of interest from dynamical…
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A Large-Scale Study of MySpace: Observations and Implications for Online Social Networks
- …We study the characteristics of large online social networks through an extensive analysis of over 1.9 million MySpace profiles in an effort to understand who is using these networks and how they are being used. We study MySpace through a comparative study over three different, but related, facets: …
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Domain-specific Web Service Discovery with Service Class Descriptions ∗
- …This paper presents DynaBot, a domain-specific web service discovery system. The core idea of the DynaBot service discovery system is to use domain-specific service class descriptions powered by an intelligent Deep Web crawler. In contrast to current registry-based service discovery systems – like t…
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Spam-resilient web rankings via influence throttling
- …Web search is one of the most critical applications for managing the massive amount of distributed Web content. Due to the overwhelming reliance on Web search, there is a rise in efforts to manipulate (or spam) Web search engines. In this paper, we develop a spam-resilient ranking model that promote…
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Predicting Web Spam with HTTP Session Information
- …Web spam is a widely-recognized threat to the quality and security of the Web. Web spam pages pollute search engine indexes, burden Web crawlers and Web mining services, and expose users to dangerous Web-borne malware. To defend against Web spam, most previous research analyzes the contents of Web p…
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Social Honeypots: Making Friends With A Spammer Near You
- …Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spammers. Unfortunately, little is known about these social spammers, their level of sophistication, or their strategies and ta…
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SocialTrust: Tamper-Resilient Trust Establishment in Online Communities
- …Web 2.0 promises rich opportunities for information sharing, electronic commerce, and new modes of social interaction, all centered around the“social Web”of user-contributed content, social annotations, and person-to-person social connections. But the increasing reliance on this “social Web ” also p…
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Process Mining, Discovery, and Integration using Distance Measures
- …Business processes continue to play an important role in today’s service-oriented enterprise computing systems. Mining, discovering, and integrating processoriented services has attracted growing attention in the recent year. In this paper we present a quantitative approach to modeling and capturing…
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