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 TitleDate AddedCompany
whitepaper Understanding Photowork2006-04-22 Association for Computing Machinery
  This paper introduces the notion of "Photowork" as the activities people perform with their digital photos after capture but prior to end use such as sharing. Surprisingly, these processes of reviewing, downloading, organizing, editing, sorting and filing have received little attention in the literature yet they form the context for a large amount of the 'search' and 'browse' activities so commonly referred to in studies of digital photo software. Through a deeper understanding of photowork using field observation and interviews, the authors seek to highlight its significance as an interaction practice and at the same time discover how "search" as it is usually defined may have much less relevance than new ways of browsing for the design of new digital photo tools.

Tags: Digital Cameras, 		  
whitepaper FaThumb: A Facet-Based Interface for Mobile Search2006-04-22 Association for Computing Machinery
  This paper describes a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. The alternative discussed in this paper uses a hybrid model to de-emphasize tedious keyword entry in favor of iterative data filtering. The paper proposes navigation and selection of hierarchical metadata (facet navigation), with incremental text entry to further narrow the results. A formative evaluation was conducted to understand the relative advantages of keyword entry versus facet navigation for both browse and search tasks on the phone.

Tags: Search Strategies, Mobile - Wireless Communications		   
whitepaper Fast, Flexible Filtering With Phlat - Personal Search and Organization Made Easy2006-04-22 Association for Computing Machinery
  Systems for fast search of personal information are rapidly becoming ubiquitous. Such systems promise to dramatically improve personal information management, yet most are modeled on Web search in which users know very little about the content that they are searching. This paper describes the design and deployment of a system called Phlat that optimizes search for personal information with an intuitive interface that merges search and browsing through a variety of associative and contextual cues. In addition, Phlat supports a unified tagging (labeling) scheme for organizing personal content across storage systems (files, email, etc.).   
whitepaper Maximum Entropy Based Normalization of Word Posteriors for Phonetic and LVCSR Lattice Search2006-04-19 Institute of Electrical and Electronics Engineers
  In many keyword-spotting systems, the word posterior probability is an elementary quantity. In theory, the posterior of a keyword match denotes the probability of the match being correct. However, posteriors estimated on lattices, in particular phoneme lattices, are often off by orders of magnitude. This paper investigates the problem of providing "Correct" posteriors, in the context of lattice-based word spotting. Unlike other work on word posteriors that focuses on relative ranking of posteriors, the paper emphasizes relevance of the absolute value of the posterior in the user scenario. This paper stipulates that the posteriors should approach empirical precisions in a limit sense. Using this as a constraint, the authors estimate a mapping function based on Maximum Entropy.

Tags: Voice Recognition		   
whitepaper How Findability Can Drive Business Growth2006-04-01 IBM
  Patrica Seybold Group identifies trends early enough to make a difference. Bridge the gap between information need and ability to make decisions. How can you achieve this and use "terrific search"? In this white paper, Patricia Seybold Group analyzes the answers.

Tags: Asset Management, Help Desk, Infrastructure Management, Knowledge and Data Management, Customer Support Services, Web Content Management, E-fulfillment, Search Strategies, Business Strategies, Call Center - Contact, CRM Software, Decision Support - DW Front End, Document Management, Business Management, Groupware - Workflow, Sales Force Automation, Supply Chain Management, Data Mining - Analysis, Database Management, Procurement - Purchasing, Business Intelligence - Data Warehousing, E-procurement, Finance, Legal, Sales - Marketing, Service Level Management, Resources Mgmt., Strategic Planning		   
whitepaper Exploring Personal Information2006-04-01 Association for Computing Machinery
  Designing interfaces for accessing personal information presents several unique challenges and opportunities. An important feature of personal collections is that people are familiar with many details and characteristics about their information, as well as the contexts surrounding their use of it. When looking for personal information, one may remember the general topic of the item, which it was from, where one, filed it, or roughly when a person saw it. The challenge is in creating a user interface that exploits the wide and varied associations and contextual cues that people remember about their information, while maintaining the simplicity of keyword search that makes Web search so powerful and easy.

Tags: Search Strategies, GUI		   
whitepaper AnnoSearch: Image Auto-Annotation by Search2006-03-27 Microsoft
  Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. This paper presents AnnoSearch, a novel way to annotate images using search and data mining technologies. Leveraging the Web-scale images, the author solves this problem in two-steps: searching for semantically and visually similar images on the Web and mining annotations from them. Firstly, at least one accurate keyword is required to enable text-based search for a set of semantically similar images. Then content-based search is performed on this set to retrieve visually similar images. At last, annotations are mined from the descriptions (titles, URLs and surrounding texts) of these images.

Tags: Data Mining - Analysis, Learning Management Systems		   
whitepaper Redips: Backlink Search and Analysis on the Web for Business Intelligence Analysis2006-03-11 John Wiley & Sons
  The World Wide Web presents significant opportunities for business intelligence analysis as it can provide information about a company's external environment and its stakeholders. Traditional business intelligence analysis on the Web has focused on simple keyword searching. Recently, it has been suggested that the incoming links, or backlinks, of a company's Web site (i.e., other Web pages that have a hyperlink pointing to the company of interest) can provide important insights about the company's "Online communities." Although analysis of these communities can provide useful signals for a company and information about its stakeholder groups, the manual analysis process can be very time-consuming for business analysts and consultants.

Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing		   
whitepaper Beyond PageRank: Machine Learning for Static Ranking2006-03-08 International World Wide Web Conference Committee
  Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. This paper shows that one can significantly outperform PageRank using features that are independent of the link structure of the Web. The paper gains a further boost in accuracy by using data on the frequency at which users visit Web pages and uses RankNet, a ranking machine learning algorithm, to combine these and other static features based on anchor text and domain characteristics.

Tags: Search Strategies, Web Development and Design		   
whitepaper Best Practices: WHOIS Searching Issues and Time-Saving Tips2006-03-07 Iron Mountain
  Domain names records are authoritative electronic records maintained by a domain name registrar (i.e. Iron Mountain, Network Solutions, GoDaddy) that contain registrant ("Owner") contact, name server and IP address information along with creation and expiration dates. All registrars of domain names in the generic Top-Level Domains (gTLDs) are required by the Internet Corporation for Assigned Names and Numbers known as ICANN, a non-profit regulatory body) to provide a publicly accessible, searchable online database of their domain name registrant customer's names. The records are typically referred to as "WHOIS" records.

Tags: Search Strategies, Best Practices		   


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