121 results about "Content Model" patented technology

Methods and systems for automatically determining game content based upon dynamically adjusted individual skill levels are provided. Example embodiments provide an Electronic Gaming Engine (“EGE”), which includes a Dynamic Challenge Level Adjuster for supporting multi-player, individualized skill-based games. In one embodiment, the EGE comprises game flow logic; game content models, for example, question and answer (“Q&A”) challenge models; a Dynamic Challenge Level Adjuster; one or more scoring modules; challenge data; participant data; and an input / output interface. These components cooperate to determine and assign skill level indexes on an individual basis and to automatically present game content appropriate to each individual player's skill level.

A method and system is provided for allowing efficient creation of data structures that correspond to data formats specified by content models specified within XML schemas. The data in these data structures is produced as XML documents that conform to those XML schema. Programs written in dynamic programming languages, such as JavaScript, create and instantiate object classes that conform to one or more pre-existing XML schemas. These object classes provide an application program interface (API) for application programs to manipulate data via exposed data structures and methods. Application programs are able to access exposed data structures through conventional programming methods. After the application program has completed manipulation of data within the instantiated data classes, the data is then produced as an XML document that conforms to the XML schema.

Embodiments include systems and methods that enable enrichment and sharing of online content between users. These systems and methods provide mechanisms that allow users to author and overlay metadata as transparent containers on already existing data containers within models of the online content, as well as to create relational connections between people and objects across the web by communicating the overlaid online content. The metadata and relationships may be collected from user-authored input by overlaying virtual transparent screens over the online content. The virtual transparent screens enable the users to share the content by visually marking, or otherwise indicating, locations of interest on the content through the virtual transparent screens. The users may then author input related to the marked locations to be placed in the transparent containers associated with the marked location. The enriched content is then processed and rendered to other users through the transparent containers.

The invention provides a news recommendation system and method based on an FOLFM model. Based on a content recommendation method, a news content model is expressed abstractly through a latent class model and content characteristics, and an individual latent class preference model is built for each user. Real-time training is carried out on a real-time behavior record of a user to obtain preference, on certain latent class news, of the user, whether the news is recommended to the user is determined through calculation, and a final news recommendation list is obtained after a series of processing processes. The news recommendation system and method based on the FOLFM model deeply excavate the interest of the user, improve recommendation accuracy and satisfaction of the user, avoid a cold starting problem of the news, and guarantee performance under the condition that the recommendation effect is improved as much as possible. The experiment shows that the news recommendation system and method based on the FOLFM model not only guarantee the requirements for high accuracy and high speed, but also realize visual real-time recommendation for the user.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

Methods and systems for automatically determining game content based upon dynamically adjusted individual skill levels are provided. Example embodiments provide an Electronic Gaming Engine (“EGE”), which includes a Dynamic Challenge Level Adjuster for supporting multi-player, individualized skill-based games. In one embodiment, the EGE comprises game flow logic; game content models, for example, question and answer (“Q&A”) challenge models; a Dynamic Challenge Level Adjuster; one or more scoring modules; challenge data; participant data; and an input / output interface. These components cooperate to determine and assign skill level indexes on an individual basis and to automatically present game content appropriate to each individual player's skill level.

The invention belongs to the field of image processing and computer vision, and more particularly discloses an image style transfer method based on a convolutional neural network. Based on a high-level semantic representation in the convolutional neural network, an image content model and an image style model are established, then an initial image is optimized to have a content representation similar to a content image and a style representation similar to a style image in the same convolutional neural network, an image fused with the content of the content image and the style of the style image is therefore generated, and the style transfer function is realized. The method of the invention can achieve style transfer for any style image.

An intelligent content assistance system generates context-sensitive content recommendation during business processes. Information needs of a user in context are dynamically monitored and detected. Content-recommendation templates are retrieved to match the detected information needs, and instantiated using information from user input, context, interaction history, system-learned query and content models, and external sources. Context, interaction history, and system-learned models are dynamically updated for learning and adaptation. The system and methods are applicable to multiple domains and applications.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

The invention discloses a method for starting up a mobile terminal through a voice password, wherein a user voice print model, a pronunciation content model and a pronunciation rhythm model which are pre-established are stored in the mobile communication terminal. The method comprises the following steps: extracting the acoustic feature from the sound wave of the mobile terminal user and forming a voice print feature vector sequence, a pronunciation content feature vector sequence and a pronunciation rhythm feature vector sequence which are to be identified; matching and comparing the pronunciation content feature vector sequence to be identified with the pronunciation content model one by one, and obtaining a pronunciation content matching score A; matching and comparing the voice print feature vector sequence with the voice print model one by one, and obtaining a voice print matching score B; matching and comparing the pronunciation rhythm feature vector sequence with the pronunciation rhythm model one by one, and obtaining a pronunciation rhythm matching score C; performing operation to the comprehensive matching degree of the pronunciation content matching score A, the voice print matching score B and the pronunciation rhythm matching score C, and starting up the mobile terminal when the obtained comprehensive matching degree Z is equal to or larger than a preset threshold value.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

Various embodiments of the present disclosure relate generally to systems and methods for generating multi-view interactive digital media representations in a virtual reality environment. According to particular embodiments, a plurality of images is fused into a first content model and a first context model, both of which include multi-view interactive digital media representations of objects. Next, a virtual reality environment is generated using the first content model and the first context model. The virtual reality environment includes a first layer and a second layer. The user can navigate through and within the virtual reality environment to switch between multiple viewpoints of the content model via corresponding physical movements. The first layer includes the first content model and the second layer includes a second content model and wherein selection of the first layer provides access to the second layer with the second content model.

The present invention relates to a method of systematically and synthetically accessing modality conversion that is an important part in the contents adaptive conversion process of a universal multimedia access system. The present invention provides an effective method of solving a problem, which is incurred at the time of modality conversion and still remains as one of difficult problems incurred during adaptive contents conversion. For this purpose, the present invention includes overlapped contents modeling newly proposed to determine modality conversion, a method of flexibly and clearly expressing and applying user preference for the modality conversion, and a resource allocation method of distributing resources among complicated contents based on the user preference. As a result, the integration of the above three methods provides a synthetic solution, particularly, to a problem incurred in the modality conversion and, generally, to a problem incurred in the adaptive conversion of contents.

A system and method is configured to parse web-document based on elements. The system can include a word parser for extracting and separating all tokens of the document supplied to the terminal regardless of kind of a markup language used to compose the web-document by referring to a token table; and a syntax parser for parsing syntax for the tokens extracted and separated by the word parser on the basis of a contents model, and generating a object on the basis of GUI of the terminal through the parsed syntax. The token table can include tokens defined in an XML document, keywords defined in document type definition (DTD) for all documents provided to the handheld terminal, and a list of elements that can be supported by each terminal. The contents model can be determined in accordance with DTD for all documents provided to the terminal and include a hierarchy of elements and an attribute list.

A former foundation method of chemistry component content to plant fibrin material gathers close infrared spectroscopic to plant fibrin material sample and sets up quantitative analysis former according the chemistry component content to the plant fibrin material sample based on the close infrared spectroscopic by adopting chemistry metrology method. A part of the said plant fibrin material sample is at least mixed plant fibrin material sample. The said mixed plant fibrin material sample is at least one of the mixtures of plant fibrin material sample with known chemistry component content. According the former establishing method

The present invention is a distributed system comprising client- and server-side components that, together, allow XML schemas or the like to be managed in a collaborative way across an enterprise environment. The server-side component, or server, is used to assemble a collection of one or more schemas. The server exposes the collection of schemas to one or more client components that connect to the server. Such connections may be made over a computer network. The client component preferably exports a display interface through which a user can visualize dependencies between schemas, e.g., by dragging them into a workspace and viewing all related schemas and how they are connected, as well as what elements and other components they define. In this way, the client component provides a high-level view of a larger (e.g., enterprise-wide) information architecture.

Various embodiments of the present disclosure relate generally to systems and methods for generating multi-view interactive digital media representations in a virtual reality environment. According to particular embodiments, a plurality of images is fused into a first content model and a first context model, both of which include multi-view interactive digital media representations of objects. Next, a virtual reality environment is generated using the first content model and the first context model. The virtual reality environment includes a first layer and a second layer. The user can navigate through and within the virtual reality environment to switch between multiple viewpoints of the content model via corresponding physical movements. The first layer includes the first content model and the second layer includes a second content model and wherein selection of the first layer provides access to the second layer with the second content model.

A distributed system includes client- and server-side components that, together, allow XML schemas or the like to be managed in a collaborative way across an enterprise environment. The server-side component, or server, is used to assemble a collection of one or more schemas. The server exposes the collection of schemas to one or more client components that connect to the server. Such connections may be made over a computer network. The client component preferably exports a display interface through which a user can visualize dependencies between schemas, e.g., by dragging them into a workspace and viewing all related schemas and how they are connected, as well as what elements and other components they define. In this way, the client component provides a high-level view of a larger (e.g., enterprise-wide) information architecture.

The invention discloses a content extraction method based on keyword matching. Keywords in a webpage source code Keywords label are counted, a standard library is built according to the keywords, and a corresponding DOM tree is built; hierarchical traversal is conducted on the DOM tree, the number of keywords contained in all nodes of the DOM trees is counted, the keyword weights of the nodes are calculated according to the ratio relation between the keyword number of the nodes and the keyword number of father nodes of the nodes, the content node containing a content text is effectively screened out and positioned by judging the maximum keyword weight of node children, and content extraction is completed; and a similarity matching method is proposed in order to solve the problem that a short text cannot be effectively extracted through a keyword matching method, and according to the similarity matching method, paragraph texts and page titles are converted into 8-bit binary data, the similarity is judged according to the Hamming distance, and content extraction of the short text is achieved. According to the content extraction method, matching is conducted according to the keywords set in a webpage, neither data training nor sample learning is needed, and the method is out of limitation of a website structure and has the good universality.

The invention discloses a shale oil content forecasting method for LogR-delta T logging evaluation and belongs to the technical field of logging exploration. The shale oil content forecasting method comprises the following steps: (1) preprocessing logging data; (2) performing minimum value joint identification; (3) performing logging curve leveling processing; (4) calibrating forecasted shale stratum oil content S1 and chloroform bitumen 'A' formula parameters; and (5) evaluating non-measured data shale stratum shale oil S1 and chloroform bitumen 'A' content in a quantitative mode, and achieving continuous forecasting and evaluation on the shale stratum shale oil content S1 and the chloroform bitumen 'A' without sampling. By means of the shale oil content forecasting method, fast calibration on a content model of the shale oil content S1 (or chloroform bitumen 'A') can be achieved by performing calibrating fitting on measured data directly through processed interval transit time and resistance data and forecasting on S1 (or chloroform bitumen 'A') of the non-measured oil content S1 (or chloroform bitumen 'A') can be achieved through logging data.

The invention relates to a soil compactness and moisture composite measuring method and device. The method comprises the following steps: obtaining the acceleration and pressure of a probe during the process that the probe is inserted into soil to be tested; subjecting the acceleration and pressure to a noise removing treatment; analyzing the acceleration and pressure after the noise removing treatment so as to determine the measuring result of soil compactness; and based on a volumetric soil water content model, according to the compactness measuring result, converting the soil moisture into volumetric water content under standard soil compactness. The provided method is more universal for measuring the soil compactness. The measurement error due to uneven inserting speed of probe is avoided. The soil compactness can be measured more precisely. The measuring error of volumetric soil water content caused by different compactness of soil can be avoided. The volumetric soil water content can be measured more precisely. The research on agricultural production, forest breeding, and ecological and environmental monitoring is well assisted by the provided method.

Various embodiments of the present disclosure relate generally to systems and methods for generating multi-view interactive digital media representations in a virtual reality environment. According to particular embodiments, a plurality of images is fused into a first content model and a first context model, both of which include multi-view interactive digital media representations of objects. Next, a virtual reality environment is generated using the first content model and the first context model. The virtual reality environment includes a first layer and a second layer. The user can navigate through and within the virtual reality environment to switch between multiple viewpoints of the content model via corresponding physical movements. The first layer includes the first content model and the second layer includes a second content model and wherein selection of the first layer provides access to the second layer with the second content model.

The invention provides a method and a device for determining the content of adsorbed gas in a clay shale reservoir and belongs to the technical field of prediction of gas content of the clay shale reservoir. The method comprises steps as follows: influence factors of the adsorbed gas in the clay shale reservoir are obtained; the actually measured adsorbed gas content is acquired through a preset adsorption model according to physical property parameters and isothermal adsorption experimental data of a to-be-measured clay shale reservoir; a scatter diagram indicating that the actually measured adsorbed gas content changes along with the adsorbed gas influence factors is determined according to the adsorbed gas influence factors and the actually measured adsorbed gas content; the scatter diagram is subjected to fitting, a correlation curve and the fitting degree of the adsorbed gas content changing along with the predetermined influence factors are acquired, and the influence factors with the fitting degree larger than a preset value are determined as main controlling factors of the adsorbed gas content; a multiple linear regression model is established according to the main controlling factors of the adsorbed gas content; an adsorbed gas content model is determined through the multiple linear regression model according to the adsorbed gas influence factors and the actually measured adsorbed gas content. The method and the device have the characteristic of higher accuracy of a quantitative prediction result.

A system and method are provided for modeling structured, semi-structured, and unstructured data all within a single instance of a user defined type (UDT) within a database store. In particular, the XML data model is extended to fields of a UDT. As a result, the properties of the XML data model-such as document order and document structure-can be preserved within instances of a UDT. Moreover, code representing object behavior (i.e., methods that can be invoked on an object in managed code) can be added to the UDT to operate on an XML field, as well as non-XML fields of the UDT. This enables a framework for adding business logic to XML data. The content model of the XML data can be optionally described using XML schema documents associated with the XML fields of the UDT.

The invention discloses a method for pre-warning forest fire based on satellite remote sensing data, and solves the problem that existing forest fire danger forecasting is insufficient in precision. The method comprises the following steps: obtaining image data, and carrying out radiation correction, geometric correction and projection transformation; using processed image data to calculate surface temperature; using processed image data to calculate normalized differential vegetation index so as to calculate vegetation coverage rate; obtaining a panchromatic image and a multispectral image, carrying out geometric correction on the panchromatic image and the multispectral image, fusing the panchromatic image and the multispectral image for vegetation classification, constructing combustible moisture content models of different types of vegetations in combination with meteorological factors, and calculating the moisture contents of different types of vegetations; calculating dynamic hazard indexes of forest fire through the surface temperature, the vegetation coverage rate and the moisture contents of different types of vegetations, and classifying fire danger classes according to the dynamic hazard indexes of forest fire. According to the method, the precision of a combustible moisture content model is much higher than that of a model determined through remote sensing satelliteparameters directly.