Showing papers by "Paul A. Viola published in 2011"

Integrating applications within search results

Abstract: Computer-readable media, computer systems, and computing methods are provided for implicitly discovering applications using a query or search results, where the query does not explicitly target a particular application. A search engine is used to receive a user-initiated query and to employ a keyword of the query to generate an initial set of search results. Characteristics of the search results are identified and applications that are relevant to the characteristics are determined. The determination of relevant applications include: accessing an application manifest that manages a mapping between applications and predefined characteristics; comparing the characteristics of the search results against the predefined characteristics of the application manifest to determine a match; and, when a match exists between the search-result characteristics and the predefined characteristics, identifying applications mapped to the matched characteristics as being relevant to the search results. These identified applications are presented in response to the query.

Ranking search results using feature score distributions

Abstract: Document features or document ranking values can be associated with a distribution of values. Feature values, feature value coefficients, and/or document ranking values can be generated based on sampled values from the distribution of values. This can allow the relative ranking of a document to vary. As additional information is obtained regarding the document, leading to greater certainty about the appropriate ranking of the document, the width or variation generated by the distribution can be reduced to provide more stable ranking values

Parsing of document visual structures

Abstract: FIELD: information technologies. ^ SUBSTANCE: 2D representation of a document is used to identify a visual structure, which helps to recognise a document. The visual structure is exposed to grammatical analysis by association of multiple grammatical rules with multiple types of symbols identifier in the visual structure of the document. This makes it possible to recognise components of the document (for instance, columns, names of authors, headings, references, etc.), as a result of which structural components of the document may be accurately interpreted. At the same time the grammatical analysis is based on a function of grammatical value, which is produced by means of a machine training procedure. At the same time the grammatical analysis comprises representation of analysis in the form of an image and estimation of an image for execution of the grammatical value function with definition of optimal analysis. To simplify document recognition, it is possible to use procedures of grammatical analysis, where procedures of amplification and/or "quick recognition criteria", etc. are used. ^ EFFECT: improved accuracy of document detection. ^ 19 cl, 10 dwg, 5 tbl