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1 November 2009 year (time zone GMT 00:00)  Number of sources in English: 4957
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A Machine Learning Approach for Improved BM25 Retrieval

01.11.2009 22:28    research.microsoft.com
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine the effectiveness of BM25 on various document fields. We find that BM25 models relevance
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A Machine Learning Approach for Improved BM25 Retrieval


Avatar Movement in World of Warcraft Battlegrounds

01.11.2009 22:28    research.microsoft.com
Evaluating DVE topology management and message propagation schemes requires avatar movement models. Most models are based on reasoned assumptions rather than measured data, potentially biasing evaluation. We measured player movement in World of Warcraft battlegrounds, and compared our observations against
World    Microsoft News    Articles
Avatar Movement in World of Warcraft Battlegrounds

Characterizing Podcast Services: Publishing, Usage, and Dissemination

01.11.2009 22:27    research.microsoft.com
In this paper, we aim at characterizing podcast services both from publishers' and users' perspectives, and at analyzing the implications of these characteristics on the design of efficient dissemination systems. Specifically, our goal is to characterize how podcasting content is
World    Microsoft News    Articles
Characterizing Podcast Services: Publishing, Usage, and Dissemination


Clustering Queries for Better Document Ranking

01.11.2009 22:27    research.microsoft.com
Different queries require different ranking methods. It is however challenging to determine what queries are similar, and how to rank documents for them. In this paper, we propose a new method to cluster queries according to the similarity determined based
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Clustering Queries for Better Document Ranking

On Meeting Lifetime Goals and Providing Constant Application Quality

01.11.2009 22:24    research.microsoft.com
Most work in sensor networks tries to maximize network lifetime. However, for many applications the required lifetime is known in advance. Therefore, application quality should rather be maximized for that given time. Levels, the approach presented in this article, is
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On Meeting Lifetime Goals and Providing Constant Application Quality

Post-Rank Reordering: Resolving Preference Misalignments between Search Engines and End Users

01.11.2009 22:24    research.microsoft.com
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherranked documents and click on lower-ranked ones. Although search engines have been
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Semi-Supervised Learning of Semantic Classes for Query Understanding - from the Web and for the Web

01.11.2009 22:23    research.microsoft.com
Understanding intents from search queries can improve a user's search experience and boost a site's advertising profits. Query tagging via statistical sequential labeling models has been shown to perform well, but annotating the training set for supervised learning requires substantial
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Semi-Supervised Learning of Semantic Classes for Query Understanding - from the Web and for the Web

The Case for VM-based Cloudlets in Mobile Computing

01.11.2009 22:23    research.microsoft.com
Resource poverty is a fundamental constraint that severely limits the class of applications that can be run on mobile devices. This constraint is not just a temporary limitation of current technology, but is intrinsic to mobility. In this paper, we
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The Case for VM-based Cloudlets in Mobile Computing

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