Abstract: The subject disclosure is directed towards obtaining a linear narrative synthesized from a set of objects, such as objects corresponding to a plan, and using cinematographic and other effects to convey additional information with that linear narrative when presented to a user. A user interacts with data from which the linear narrative is synthesized, such as to add transition effects between objects, change the lighting, focus, size (zoom), pan and so forth to emphasize or de-emphasize an object, and/or to highlight a relationship between objects. A user instruction may correspond to a theme (e.g., style or mood), with the effects, possibly including audio, selected based upon that theme.

Abstract: A pattern of visual interactivity may be automatically proposed for processing a data set that exhibits dimensions of variability. A visual display component may be analyzed to assess whether it is capable of receiving user input representing changes that correspond to types of changes of the identified dimensions of the data set. A suitable visual display component may be provided as a suggestion on a user interface for potentially using the visual display component to allow a user to interact with the data. In some embodiments, a visual display component includes a number of visual objects and/or visually interactive components for use within a graphical user interface. A visual display component may include one or more analytic patterns having at least one of an equation, rule, constraint, expression or combination thereof that represents the analytic pattern. Alternatively, a visual display component may involve a visual display representation of data through visual characteristics of a graphical object.

Abstract: A complex solver that is able to solve a diverse variety of model analytics. Upon identifying the various input variable(s) and output variable(s) of the model variables, if a straight forward solve is not to be performed, it is determined whether the model analytics is to be inverted such that a forward solve can be performed. For instance, it might not be known generally, or at least to the solver, how to invert a particular equation of other model analytics. If the model analytics is to be inverted, the model analytics is inverted, and the forward solve is performed. On the other hand, if the inversion of the model analytics is not to be performed, then a numerical analysis solve is performed.

Abstract: Aspects discussed relate to creating a presentation of data through an arbitrary graphical object that has the capacity to visually represent data. Based on parameters of the visual characteristics and/or the data set, dimensions of data may be bound to appropriate visual characteristics of the graphical object to render a data visual of the dimensions of data through the graphical object. Visual characteristics and/or dimensions of data may additionally be subject to applied filters and/or constraints. When filters and/or constraints are applied resulting in any modification of the graphical object and/or dimensions of data, a subsequent data visual may be rendered. For some cases, a user interface may enable renderings of data visuals to occur dynamically upon modification of visual characteristics and/or dimensions of data.

Abstract: Aspects described relate to analyzing data at a high level of abstraction. “Smarts,” incorporating one or more analytic patterns, may be applied to data sources. These Smarts may be in the form of at least one of an equation, rule, constraint or expression to generate a result from applying the analytic pattern to the data. Smarts may be pre-defined and selected from a library based on user preference and the data input. Any suitable user interface may be used to apply analytic pattern(s) to items of data as well as provide a visual environment for a user to make intuitive adjustments to the data, add controls in the user interface to filter or constrain the data, or combinations thereof, resulting in one or more modified results.

Abstract: The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.

Abstract: Searching and exploration using a data-driven analytics model. The analytics model includes an analytical modeling component that defines analytical relationships between model variables using a number of analytical relations. In response to a search request, the output variable(s) of the solve operation are identified. The output variable(s) may have even been identified based on the search request. The analytical relations of the model may then be used to solve for the identified output variable(s). The resulting value(s) for the now solved-for output variable(s) may then be used to formulate the response to the search request. The nature of the response may vary depending on the scope of the application that embodied the search request capability. The results of the search request may be used for further exploration of the model by, for example, submitting follow-up search requests, resulting in follow-up solve operations.

Abstract: Embodiments are provided for searching for templates utilized for managing data in a computer application program. Multiple templates for managing data are indexed as individual documents to facilitate the searching of data contained therein. Each individual document includes multiple subdocuments and a model which describes the multiple subdocuments. A data query may be received in the computer application program for one or more templates to utilize in managing the data. In response to receiving the data query, the indexed templates are searched for one or more templates which satisfy the data query. One or more template suggestions may then be displayed as a search result for satisfying the data query.

Abstract: A solver framework for use with an analytical model. The analytical model includes multiple model parameters and includes definitions for analytical relationships between the model parameters. The solver framework coordinates the processing of multiple specialized solvers. In particular, the solver framework identifies which model parameters are input model variables and which are output model variables. The solver framework then analyzes dependencies to determine a solve order to solve for the output model variables. The solver framework then charged the specialized solvers with performing portions of the solve operation such that the specialized solvers solve for the output model variables in an order which considers the dependencies. In one embodiment, additional or replacement solvers may register with the solver framework to thereby make the specialized solver available for solving for output model variables in the future.

Abstract: A system and method for offering suggestions to a user of a mobile computing device based on information relevant to the user and a context data. The mobile computing device has access to lists of data associated with the user. The mobile computing device also has a sensor for detecting data about the user's context. Based on the lists of information and the contextual data , the device generates a hypothesis as to information that may be of interest to the user. Using context data in conjunction with lists in this fashion focuses the system on information likely of interest, without requiring express user input. A search may be performed in accordance with the hypothesis. Based on the results of the search, one or more suggestions are then presented by the mobile computing device to the user. The user has the option to provide feedback input to the device resulting in an update of the suggestion.

Abstract: A taxonomy reference model for use in an analytical modeling component. The analytical modeling component defines analytical relationships between the model parameters using analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). An analytics taxonomy categorizes the analytics relations into analytics categories. This analytics taxonomy may be domain-specific. Also, if the analytics drive visuals, the visuals could be taxonomized as well. If the analytics is driven by data, the data could also be taxonomized.

Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.

Abstract: Systems and methods are described for use in higher-order-knowledge-based searching of content available from a network of data-storage devices. In various embodiments, at least one computational expression representative of a relational framework for content is identified and provided to an information retrieval system for use in searching for content desired by a user. The relational framework for content may include rules, expressions, equations, and/or constraints, which bind, relate, or associate certain content with other content. A computational expression may be determined from processing structured data. The structured data may be identified during crawling of a network or may be expressly provided to an extractor. Use of a computational expression by an information retrieval system may more efficiently and accurately return desired content to a user than is possible with traditional information searching methods.

Abstract: Embodiments of the invention provide techniques for increasing the efficiency and effectiveness with which entities or entities may be compared and contrasted across one or more dimensions. Some embodiments present on a user interface (UI) a small, visually navigable collection of entities, from which the user may select a “focus” entity that may then be compared with other entities of interest. The UI may employ a visual organization scheme that organizes information on entities according to one or more dimensions, which may be predefined and/or configurable. Embodiments may facilitate rapid cognition of the manner in which information is presented and organized, and enable a user to quickly and easily discern dissimilarities and/or similarities between the focus entity and one or more other selected entities.

Abstract: Embodiments of the invention provide techniques for increasing the efficiency and effectiveness with which entities or entities may be compared and contrasted across one or more dimensions. Some embodiments present on a user interface (UI) a small, visually navigable collection of entities, from which the user may select a “focus” entity that may then be compared with other entities of interest. The UI may employ a visual organization scheme that organizes information on entities according to one or more dimensions, which may be predefined and/or configurable. Embodiments may facilitate rapid cognition of the manner in which information is presented and organized, and enable a user to quickly and easily discern dissimilarities and/or similarities between the focus entity and one or more other selected entities.

Abstract: A data search and retrieval system that, in response to a search query, dynamically selects and applies a model of information to be returned to a user. The model may be selected based on the search query directly or indirectly based on data returned by a search engine applying the query. For this purpose, the system may include an index of models, similar to a search index. Models may be authored and contributed to the search and retrieval system by third parties, and an association between each such contributed model and characteristics of a search query, such as specific search query terms, may be stored in the index of models. A user of the search and retrieval system may provide feedback on a model that was used to generate information in response to the user's search query, and such feedback may be used to update the index of models.

Abstract: A user interface for an information presentation system that displays information of interest to the user identified by the information presentation system based on selecting tasks that may be relevant to the user given the user's current context. The user interface displays options for the user to select from among relevant tasks and/or goals of completing the task. For each selected task and goal, the system may generate one or more sets of items that are relevant to completing the task. The user interface may present the user with the option to select from among the sets of items or to navigate among the sets of items. The user interface may be an easy-to-use interface on a portable computing device to support shopping applications.

Abstract: An information presentation system that identifies information of interest to a user based on identifying tasks that may be relevant to the user given the user's current context. The user may be presented with an option to select from among relevant tasks and/or goals of completing the task. For each selected task and goal, the system may generate one or more sets of items that are relevant to completing the task. The user may be presented with the option to select from among the sets of items or to navigate among the sets of items. Such a system may be used to provide an easy-to-use interface on a portable computing device to support shopping applications.

Abstract: A data search and retrieval system that, in response to a search query, applies a model to search results to generate information to be returned to a user. A user may modify the model via a set of controls displayed to the user. The modified model may then be applied to search results to generate information in compliance with the modified model. Modified models may be stored locally on a client system or stored in the search system and made available to other users so that the modified models can be applied to subsequent requests for information. The modified models and the results of a search may be stored on a client machine such that, as the model is modified, new information may be generated based on the original search, reducing communication bandwidth, which can improve the speed and cost of providing user interaction with data in a mobile environment.

Abstract: A data search and retrieval system that, in response to a search query, dynamically selects and applies a model of information to be returned to a user. The model may be selected based on the search query directly, or indirectly based on data returned by a search engine applying the query. For this purpose, the system may include an index of models, similar to a search index. Models may include expressions that may be descriptions of computations, equations, constraints or rules to define information to be returned. These elements of a selected model may be executed within to the search stack based on data identified in a search of web pages by executing the query or other dynamically obtained data. Execution of a model may lead to collecting new information, such as through further searching or performing computations, or may result in ordering or other formatting of data.