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- item-1 hasContent xin-cao.
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- item-2 hasContent gao-cong.
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- item-4 hasContent christian-jensen.
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- 340 creator donald-metzler.
- 340 creator evgeniy-gabrilovich.
- 340 creator michael-bendersky.
- 340 creator vanja-josifovski.
- 340 type InProceedings.
- 340 label "The Anatomy of an Ad: Structured Indexing and Retrieval for Sponsored Search".
- 340 sameAs 340.
- 340 abstract "Sponsored search ads help connect users with advertisers by matching user queries to relevant ads. Ads can be retrieved either by exact match, when their bid term is identical to the query, or by advanced match, which indexes ads as documents and is similar to standard information retrieval (IR). Recently, there has been a great deal of research into developing advanced match ranking algorithms. However, no previous research has addressed the ad indexing problem. Unlike most traditional search problems, the ad corpus is defined hierarchically in terms of advertiser accounts, campaigns, and ad groups, which further consist of creatives and bid terms. This hierarchical structure makes indexing highly non-trivial, as naively indexing all possible "displayable" ads leads to a prohibitively large and ineffective index. We show that ad retrieval using such an index is not only slow, but its precision is suboptimal as well. We investigate various strategies for compact, hierarchy-aware indexing of sponsored search ads through adaptation of standard IR indexing techniques. We also propose a new ad retrieval method that yields more relevant ads by exploiting the structured nature of the ad corpus. Experiments carried out over a large ad test collection from a commercial search engine show that our proposed methods are highly effective and efficient compared to more standard indexing and retrieval approaches.".
- 340 hasAuthorList authorList.
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- 340 keyword "Selection".
- 340 keyword "contextual advertisements".
- 340 keyword "ranking for search".
- 340 title "The Anatomy of an Ad: Structured Indexing and Retrieval for Sponsored Search".
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- item-1 hasContent michael-bendersky.
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- item-4 hasContent donald-metzler.
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- 347 creator marlon-dumas.
- 347 creator peep-kuengas.
- 347 type InProceedings.
- 347 label "Redundancy Detection in Service-Oriented Systems".
- 347 sameAs 347.
- 347 abstract "We investigate the problem of detecting data redundancy from interface descriptions in large service-oriented information systems. By redundant data, we mean data maintained at different locations independently. Such data redundancy may lead to inconsistency and may hinder the reuse of services. We define two simple but effective heuristics that help to identify and pinpoint potential data redundancy. The proposed heuristics have been tested on a federated governmental information system consisting of about 60 independently-maintained information systems providing altogether about 1000 data services described by means of WSDL. The quality of the heuristics is evaluated in terms of precision and recall.".
- 347 hasAuthorList authorList.
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- 347 keyword "Federated".
- 347 keyword "inter-organizational Web applications".
- 347 title "Redundancy Detection in Service-Oriented Systems".
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- 348 creator arun-maiya.
- 348 creator tanya-berger-wolf.
- 348 type InProceedings.
- 348 label "Sampling Community Structure".
- 348 sameAs 348.
- 348 abstract "We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgraphs representative of community structure in the original graph. Using samples produced by our method, we show that the problem of community detection may be recast into a case of statistical relational learning. We empirically evaluate our approach against several real-world datasets and demonstrate that our sampling method can effectively be used to infer and approximate community affiliation in the larger network. To the best of our knowledge, this is the first work using sampling to make non-trivial inferences of latent properties such as community structure in the larger graph.".
- 348 hasAuthorList authorList.
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- 348 keyword "Community discovery".
- 348 keyword "social media analysis".
- 348 keyword "social network analysis".
- 348 keyword "structure modeling".
- 348 title "Sampling Community Structure".
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- item-1 hasContent arun-maiya.
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- 394 creator azarias-reda.