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 TitleDate AddedCompany
whitepaper Tomographic Clustering to Visualize Blog Communities as Mountain Views2005-09-29 03:00:02
  Blogs have created a fast growing social network on the Internet. However ranking solutions are not sufficient to capture relationships between important blogs and between communities. This paper combines blog rankings with their social connections to provide a framework to understand multiple blog communities. A novel mountain view visualization is provided to explore different communities of interest in blogspace. The mountain views are generated using a tomographic clustering algorithm on the blog social network. The mountain view shows mountains of communities consisting of connected blogs. Peaks and valleys of the mountain view depict representative blogs as community authorities and community connectors, respectively.   
whitepaper The EigenRumor Algorithm for Ranking Blogs2005-09-29 03:00:02
  The advent of easy to use blogging tools is increasing the number of bloggers leading to more diversity in the quality blogspace. The blog search technologies that help users to find "good" blogs are thus more and more important. This paper proposes a new algorithm called "EigenRumor" that scores each blog entry by weighting the hub and authority scores of the bloggers based on eigenvector calculations. This algorithm enables a higher score to be assigned to the blog entries submitted by a good blogger but not yet linked to by any other blogs based on acceptance of the blogger's prior work.   
whitepaper Object-Level Ranking: Bringing Order to Web Objects2006-05-02 04:53:30
  In contrast with the current Web search methods that essentially do document-level ranking and retrieval, this paper explores a new paradigm to enable Web search at the object level. The paper collects Web information for objects relevant for a specific application domain and ranks these objects in terms of their relevance and popularity to answer user queries. Traditional PageRank model is no longer valid for object popularity calculation because of the existence of heterogeneous relationships between objects. This paper introduces PopRank, a domain-independent object-level link analysis model to rank the objects within a specific domain.   
whitepaper Ranking Definitions With Supervised Learning Methods2006-05-02 04:57:52
  This paper is concerned with the problem of definition search. Specifically, given a term, the authors retrieve definitional excerpts of the term and rank the extracted excerpts according to their likelihood of being good definitions. This is in contrast to the traditional approaches of either generating a single combined definition or simply outputting all retrieved definitions. Definition ranking is essential for the task. Methods for performing definition ranking are proposed in this paper, which formalize the problem as either classification or ordinal regression. A specification for judging the goodness of a definition is given. The paper employs SVM as the classification model and Ranking SVM as the ordinal regression model respectively.   
whitepaper Searching for Geospatial Government-Produced Data2005-08-24 03:00:02
  This paper investigates problems and solutions for searching the Web for geospatial data produced by various levels of government. Currently, geospatial data to meet particular needs are difficult to find. The paper suggests using Internet DBMS and Semantic Web technology to improve search techniques over metadata by using context-oriented search phrases, full query expressions, and semantic mappings. Furthermore, automatic searching for data is possible using an Internet DBMS that ranges over Web published metadata and consults semantic mapping expressions of models and terms.   
whitepaper Near-Duplicate Detection for eRulemaking2005-08-30 03:00:02
  U.S. regulatory agencies are required to solicit, consider, and respond to public comments before issuing regulations. In recent years, agencies have begun to accept comments via both email and Web forms. The transition from paper to electronic comments makes it much easier for individuals to customize "form" letters, which they do, creating "near-duplicate" comments that express the same viewpoint in slightly different languages. This paper explores the use of simple text clustering and retrieval algorithms for identifying near-duplicate public comments.   
whitepaper Windows XP Hacks: Out-Google Google With MSN Desktop Search2005-02-11 O'Reilly Media
  "Google Your Desktop" shows all the ways one can use Google's great desktop search tool to search through the computer in the same way Google lets one search through the Web. Surprise! Microsoft has beat Google at its own game. MSN Desktop Search does a far better job of finding email and files on the computer because it hooks directly into Windows, Outlook, Outlook Express, and Microsoft Office and lets one search in ways one can't with the Google Desktop. And it does more than that as well; once one has found files or email, they can move them, delete them, copy them, respond to them - pretty much anything Windows lets one do. Google Desktop merely lets one view them.

Tags: Windows XP, 		  
whitepaper In Search of a Better Banking Experience2005-07-26 03:00:02 InQuira
  With the web becoming a preferred channel of convenience for many of its customers, Bank of America knew that it had to make finding what customers are looking for easy and fast. In 2000, after evaluating and piloting various search engines, Bank of America selected the InQuira self-service search solution. The InQuira solution incorporates powerful analytics that can help the bank assess what customers are asking, in order to fine-tune their answers and even help the bank anticipate customer requirements and develop new, highly targeted products and services.   
whitepaper Semantic Small World: An Overlay Network for Peer-to-Peer Search2004-10-27 Pennsylvania State University
  For a Peer-to-Peer (P2P) system holding massive amount of data, efficient semantic based search for resources (such as data or services) is a key determinant to its scalability. This paper presents the design of an overlay network, namely semantic small world (SSW), that facilitates efficient semantic based search in P2P systems. SSW is based on three innovative ideas: small world network; semantic clustering; dimension reduction. Peers in SSW are clustered according to the semantics of their local data and self-organized as a small world overlay network.

Tags: Network Design		   
whitepaper See How to Search Outside Your Repository With Enterprise Content Integration Services2005-07-12 03:00:02
  When users need to find critical information beyond your repository, conventional search methods simply aren't up to the task. Now there's a better search solution - Enterprise Content Integration Services (ECIS). This webcast demonstrates ECIS in action and also shows a live demo.   

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