Abstract: An interactive graphic design system implements a single unified application programming interface to remotely add and update variables associated with a graphic design file. The interactive graphic design system receives an API request from a programmatic process executed on a remote device, the API request including one or more lists of key/value pairs. The interactive graphic design system accesses the graphic design file and edits the variables in the graphic design file based on the one or more lists of key/value pairs included in the API request. Upon determining that a new variable specified in the API request does not exist in the graphic design file, the interactive graphic design system adds the new variable with a new identifier to the graphic design file and provides the new identifier to the remote device in a response to the API request.

Abstract: A decision support tool that provides tools for content insights and marketing analysis to an individual user or an individual partner. In one embodiment, a networked computerized system for predicting, analyzing and evaluating scripted content includes a plurality of networked, standalone, programmed devices and a network that connects the programmed devices. Each of the programmed devices includes: an interactive subsystem component that allows for input of scripted content data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce a predictive or descriptive recommendation for action or for analysis to individual users or partners. The predictive recommendation for action may occur at a pre-production or pre-acquisition stage of the scripted content.

Abstract: A performance analytics system that provides tools for content insights and marketing analysis to an individual user or an individual partner. The system includes: an interactive subsystem component that allows for input of scripted content and associated data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce results and/or a recommendation for action to individual users or partners. The system applies similarity computations and displays the computed results pertaining to production details and a variety of features of the input scripted content.

Abstract: A decision support tool that provides tools for content insights and marketing analysis to an individual user or an individual partner. In one embodiment, a networked computerized system for predicting, analyzing and evaluating scripted content includes a plurality of networked, standalone, programmed devices and a network that connects the programmed devices. Each of the programmed devices includes: an interactive subsystem component that allows for input of scripted content data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce a predictive or descriptive recommendation for action or for analysis to individual users or partners. The predictive recommendation for action may occur at a pre-production or pre-acquisition stage of the scripted content.

Abstract: A location based community integration matchmaking system, method and computer readable recording media for optimizing sales is provided, including: obtaining user behavior pattern in an inquired area range based on stores information and user behavioral sequential information; calculating a location based community influence degree of each user in the inquired area range toward other location based users in a community based on the user behavior pattern, the community association and behavioral information, and calculating an interest domain influence degree of each user toward each interest domain; obtaining influence diffusing degree of each user toward each interest domain based on the location based community influence and the interest domain influence degree of each user; and finding a range with large influence degree in the inquired area range for performing advertisement setting, thereby achieving optimization analysis and visitor maximization of marketing channel of brick and mortar stores in the ar

Abstract: A method of predicting a social article influence includes following steps: a) analyzing an issue on the social article to classify the social article into a content domain; b) calculating a term weight to obtain a basic influence; c) collecting an author's at least one author's historical article, calculating a first influence average value, and subtracting the first influence average value and a first reference influence average value to obtain an author's general influence correction amount; d) selecting the author's at least one author-domain historical article in the content domain, calculating a second influence average value, and subtracting the second influence average value and a second reference influence average value to obtain an author's domain influence correction amount; and e) calculating the prediction influence, the author's general influence correction amount, and the author's domain influence correction amount.

Abstract: A stable manufacturing efficiency generating method includes the steps: generating a real-time grouping parameter set according to a plurality of historical efficiency values; grouping a plurality of real-time efficiency values corresponding to a product to generate a plurality of real-time efficiency groups according to the real-time grouping parameter set; selecting one of the real-time efficiency groups having most real-time efficiency values as a stable efficiency group; and generating a stable manufacturing efficiency value according to an average value of the real-time efficiency values in the stable efficiency group.

Abstract: A method of smart and energy-saving environmental control includes the following steps: collecting a plurality of physiological information and location information of users and environmental information through a plurality of sensors; identifying an active state of each of the users according to the physiological information and the location information, and getting a metabolic rate corresponding to the active state; determining a plurality of weights based on types or levels of the users, and selecting one model from the energy-saving regulation models to serve as a selected model according to the number of the users and the weights; setting an energy-saving regulation value based on the active states, the weights and the selected model; regulating environmental control devices according to the energy-saving regulation value.

Abstract: A production performance management device and a production performance management method thereof are provided. The production performance management device includes a connection interface, a storage and a processor. The connection interface receives production data. The storage stores the production data and a production performance management program. The processor runs the production performance management program. The production performance management program defines a main objective, a plurality of measurement indices, a plurality of factors, a custom mapping function between the main objective and the measurement indices and a plurality of specific mapping functions between the measurement indices and the factors, and uses the custom mapping function and the specific mapping functions to decide a factor value of each of the factors from the production data to make a main objective value of the main objective meet a main constraint.

Abstract: An electronic calculating apparatus, a method and a non-transitory machine-readable medium are provided. The electronic calculating apparatus includes an input/output (I/O) interface, a knowledge tree database and a processor. The I/O interface receives first data of a user, wherein the first data is comprised of a natural language character string. The knowledge tree database stores a context knowledge tree. The processor receives the first data of the user via the I/O interface, analyzes the first data and generates context characteristic information, and substitutes the context characteristic information into the context knowledge tree to generate first context recommend information. The processor then enables a display apparatus to display the first context recommend information.

Abstract: A merchandise recommendation method for multiple users used in a merchandise recommendation system including a user database, a merchandise database, a data transmission module, a processing module and a memory is provided. The merchandise recommendation method includes the steps outlined below. The processing module receives participant information and target merchandise information from a remote originator host. The processing module retrieves corresponding user information from the user database according to the participant information. The processing module retrieves corresponding merchandise information from the merchandise database according to the target merchandise information. The processing module analyzes social influence information and preference information included in the user information and analyzes the merchandise information to generate an analysis result. The processing module generates composite merchandise recommendation information according to the analysis result.

Abstract: A performance management system, method and a non-transitory computer readable storage medium are disclosed herein. The performance management system includes a value-driven management module and an integrated control module. The value-driven management module includes a value-driven model configuration unit and a value-driven target configuration unit. The value-driven model configuration unit is configured to configure a value-driven model with a plurality of targets, and the targets respond to a plurality of factors. The value-driven target configuration unit is configured to set a goal value for each of the targets. The integrated control module is configured to monitor a performance of a building in accordance with the goal value for each of the targets and the value-driven model.

Abstract: An itinerary generation apparatus, method, and non-transitory computer readable storage medium thereof are provided. The itinerary generation apparatus includes a storage unit, an interface, and a processing unit, wherein the processing unit is electrically connected to the storage unit and the interface. The storage unit is stored with a piece of information related to a place. The interface is configured to receive a plurality of images, wherein each of the images has a shoot time. The processing unit determines that a portion of the images corresponds to the place according to a piece of schedule information. The processing unit retrieves the piece of information related to the place from the storage unit after determining that the portion corresponds to the place.

Abstract: A solution for managing a business engagement between a provider and a client is provided. The business engagement includes one or more business solutions for which a client risk preference level is obtained. One of a plurality of engagement types is also obtained for the business solution(s) based on a business goal for the business solution(s). A pricing model for each business solution is then selected based on the engagement type and the client risk preference level. Further, the pricing model can be selected based on additional factors, such as a provider risk preference level, a business value for the business solution, and/or the like. The pricing model can comprise a risk/gain sharing pricing model having a fixed price and/or variable price pricing structure. Performance data for the business solution can be obtained and used as feedback for future business engagements and/or to implement the risk/gain sharing pricing model.

Abstract: A method, system, and program product for managing one or more business solutions is provided. One or more candidate business solutions, each of which has a corresponding set of resource requirements and a corresponding business value that is based on a risk and an expected return are used to generate a set of proposed business solutions that maximizes a total value while remaining within a set of resource constraints. In this manner, business decisions regarding particular business solutions to implement can be made with an understanding as to relative risk and/or a total value that will be provided to a business entity.

Abstract: A computer-implemented solution for managing a semantic business model is provided. In particular, one or more business area models for a business entity are obtained and transformed into intermediate model(s). Each intermediate model is represented using a substantially similar meta-modeling language. Subsequently, the semantic business model is generated by merging the set of intermediate models. In this manner, the semantic business model can be generated in a manner that reduces the overall burden on a user. The semantic business model can be provided for display to the user and/or use in performing qualitative analysis on various aspects of the business entity.

Abstract: An improved solution for managing a set of business solutions is provided. Each business solution includes one or more modifications to one or more business concerns for a target enterprise. A value model that comprises a value for each of the business concerns is used to determine a business value that is anticipated to be provided by each business solution. The business solutions can then be prioritized based on their business value. As a result, the invention enables business solutions to be compared based on their anticipated business value, rather than their features/functionality.

Abstract: A value model that can be used to value an enterprise function is provided. The value model includes one or more levels of enterprise function nodes that are related to each other and/or a bottom level of driver metric nodes, such as driver metric nodes in a value driver graph. The modification to one or more enterprise function nodes can be received and a value impact of the modification can be determined based on the modification and the relationships in the value model. In this manner, the value model provides an effective manner for determining a value impact on a particular value measurement that a specific enterprise function, such as an information technology solution/service, provides/is expected to provide.

Abstract: A method (and structure) for developing a distribution function for the probability of winning a bid by a seller for a product or service, using the seller's own historical data for winning bids and lost bids, includes normalizing the data for winning bids and the data for lost bids and merging the normalized data into a single set of data.

Abstract: A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.