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- item-2 hasContent hua-jun-zeng.
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- item-3 hasContent hua-li.
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- 692 creator b-thomas-adler.
- 692 creator luca-de-alfaro.
- 692 type InProceedings.
- 692 label "A Content-Driven Reputation System for the Wikipedia".
- 692 sameAs 692.
- 692 abstract "On-line forums for the collaborative creation of bodies of information are a phenomenon of rising importance; the Wikipedia is one of the best-known examples. The open nature of such forums could benefit from a notion of reputation for its authors. Author reputation could be used to flag new contributions from low-reputation authors, and it could be used to allow only authors with good reputation to contribute to controversial or critical pages. A reputation system for the Wikipedia would also provide an incentive to give high-quality contributions.<br /><br /> We present in this paper a novel type of content-driven reputation system for Wikipedia authors. In our system, authors gain reputation when the edits and text additions they perform to Wikipedia articles are long-lived, and they lose reputation when their changes are undone in short order. We have implemented the proposed system, and we have used it to analyze the entire Italian and French Wikipedias, consisting of a total of 691,551 pages and 5,587,523 revisions. Our results show that our notion of reputation has good predictive value: changes performed by low-reputation authors have a significantly larger than average probability of having poor quality, and of being undone.".
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- 692 title "A Content-Driven Reputation System for the Wikipedia".
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- item-1 hasContent b-thomas-adler.
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- 70 creator ahmed-metwally.
- 70 creator amr-el-abbadi.
- 70 creator divyakant-agrawal.
- 70 type InProceedings.
- 70 label "DETECTIVES: DETEcting Coalition hiT Inflation attacks in adVertising nEtworks Streams".
- 70 sameAs 70.
- 70 abstract "Click fraud is jeopardizing the industry of Internet advertising. Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise their products, and hence contributes to the well being of e-commerce. Moreover, advertising supports the intellectual value of the Internet by covering the running expenses of the content publishers' sites. Some publishers are dishonest, and use automation to generate traffic to defraud the advertisers. Similarly, some advertisers automate clicks on the advertisements of their competitors to deplete their competitors' advertising budgets. This paper describes the advertising network model, and focuses on the most sophisticated type of fraud, which involves coalitions among fraudsters. We build on several published theoretical results to devise the Similarity-Seeker algorithm that discovers coalitions made by pairs of fraudsters. We then generalize the solution to coalitions of arbitrary sizes. Before deploying our system on a real network, we conducted comprehensive experiments on data samples for proof of concept. We detected numerous coalitions that span numerous sites. Interestingly, 93% of the discovered sites were real fraudsters.".
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- 70 title "DETECTIVES: DETEcting Coalition hiT Inflation attacks in adVertising nEtworks Streams".
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- item-1 hasContent ahmed-metwally.
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- 702 creator sandeep-lingam.
- 702 creator sebastian-elbaum.
- 702 type InProceedings.
- 702 label "Supporting End-Users in the Creation of Dependable Web Clips".
- 702 sameAs 702.
- 702 abstract "Web authoring environments enable end-users to create applications that integrate information from other web sources. Users can create web sites that include built-in components to dynamically incorporate, for example, weather information, stock-quotes, or the latest news from different web sources. Recent surveys conducted among end-users have indicated an increasing interest in creating such applications. Unfortunately, web authoring environments do not provide support beyond a limited set of built-in components. This work addresses this limitation by providing end-user support for ``clipping'' information from a web site to incorporate it into the end-user site. The support consists of a mechanism to identify the clipping target with multiple markers to increase robustness, and a dynamic assessment of the retrieved information to quantify its reliability. The clipping approach has been integrated as a feature into a popular web authoring tool on which we present the results of two preliminary studies.".
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- 702 title "Supporting End-Users in the Creation of Dependable Web Clips".
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- item-1 hasContent sandeep-lingam.
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- item-2 hasContent sebastian-elbaum.
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- 733 creator ben-fei.
- 733 creator rui-li.
- 733 creator shenghua-bao.
- 733 creator yong-yu.
- 733 creator zhong-su.
- 733 type InProceedings.
- 733 label "Towards Effective Browsing of Large Scale Social Annotations".
- 733 sameAs 733.
- 733 abstract "This paper is concerned with the problem of browsing social annotations. Today, a lot of services (e.g., Del.icio.us, Filckr) have been provided based on social annotations. These services help users to manage and share their favorite URL, photos etc. However, due to exponential increasing of the social annotations, more and more users are facing the problem of finding desired resources among a large annotation data. Existing methods such as tag cloud, annotation matching, work well only when the annotation scale is relatively small. Thus, an effective approach for browsing the large scale annotations and the associated resources is on great demand of both users and service providers. In this paper, we propose a novel algorithm, namely Effective Large Scale Annotation Browser (ELSABer), to browse the large-scale social annotations. With the help of ELSABer, the users could browse the large-sale annotations in a semantic, hierarchical and efficient way. More specifically, 1) the semantic relations among annotations are explored for similar resource browsing; 2) the hierarchical relations among annotations are also constructed for top-down browsing; 3) the power-law distribution of social annotations is studied for efficient browsing. By incorporating the personal and time information, the ELSABer can be further extended for personalized and time-related browsing. A prototype system is also implemented based on ELSABer and shows promising results".
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- 733 title "Towards Effective Browsing of Large Scale Social Annotations".
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