6717results about "Market predictions" patented technology

A system, method, and various software products provide for consistent identification of web users across multiple web sites, servers and domains, monitoring and capture of data describing the users' web activities, categorization of the web activity data, aggregation of the data into time dependent models describing interest of users and groups over time. Categorization is made with respect to a category tree which may be standardized or customized for each web site. User groups may be defined based on membership rules for category interest information and demographics. Individual user profiles are then created for users automatically based on satisfaction of the user group membership rules. As new data is collected on a user over time, the category interest information extracted from the user's web activity is updated to form a current model of the user's interests relative to the various categories. This information is also used to automatically update group membership and user profile information. Identification of users across multiple sites is provided by a global service that recognizes each user and provides a globally unique identifier to a requesting web server, which can use the identifier to accumulate activity data for the user. Client side user identification is provided to track user activity data on web servers that do not communicate with the global service and do not process activity for category information. User profiles may be shared among web sites that form alliances. User activity data may be aggregated along various dimensions including users/user groups, categorization, and time to provide robust models of interest at any desired time scale.

A computer-implemented method for managing a plurality of customer relationship plans may include a step of collecting profile check values from a database of customer data, the collected profile check values including customer data corresponding to profile checks for each of the plurality of customer relationship plans. The collected profile check values may then be applied to predefined selection criteria in one or more of the plurality of customer relationship plans. The selection criteria determines whether a customer relationship plan of the plurality of customer relationship plans applies to a customer. One or more customer relationship plans may then be assigned or de-assigned to each of the selected customers, depending upon whether the applied profile check values satisfy or fail to satisfy the predefined selection criteria, respectively. The assigned customer relationship plan(s) may then be applied and one or more synchronous and/or an asynchronous actions may be carried out upon the occurrence of a selectable customer event, as called for by applied customer relationship plan(s). The profile checks may include one or more plan indicator, such as customer opportunity size, customer size, market segment or a user-definable business event, for example.

In an exemplary system, information is received at a central location from different units of a commodity. The information is generated from two-way local interactions between users of the different units of the commodity and a user interface in the different units of the commodity. The interactions elicit from respective users their perceptions of the commodity.

CCRM is a business method and computer software system, to be used by Enterprises selling portfolios of products/services, aiming to optimize the expected value of transactions (or contracts) with consumers or business customers. At a transaction level, CCRM estimates the probability of choice of potential offers by the customer. These offers may be presented alone with possible variation of their attributes (such as price), or in combinations/sets, or in sequences. CCRM calculates the probability of consequent conversion and realization of the sale. Probabilities of choice and conversion are forecasted based on a disaggregated customer choice model, taking into account customer characteristics and stated preferences as well as product/service attributes such as price. Offers are then scored and ranked by expected value based on their revenue, cost and choice probability. Finally, CCRM recommends which offer(s) to present to the customer, at which price(s) and in which display/sequence order, to maximize a business objective function such as the expected value of the transaction/contract.

A method, system, server architecture and/or tangible medium upgrade and award admittance of events to an event customer, preferably via a data communication network. The method includes, for example, receiving a communication from the event customer, the communication including a request to obtain admittance to at least one event, the communication also including an identifier associated with the event customer, admitting the event customer at the point of sale system after verification of the request, and updating a database indicating that the request was processed. The method also includes determining first predetermined criteria associated with the event indicative of at least one other event customer not attending the event, releasing an allocation associated with the at least one other event customer, and notifying at least another of the event customers to perform the upgrade and/or reallocation.

A system and method for integrating analytics data of user profiles within a social network with targeted ad campaigns. The system includes an advertisement targeting system that obtains analytics data of user profiles and utilizes the data to filter through the user profiles to select desired user profiles for delivery of advertisements targeted to the interests and personality of the desired user profiles. Utilization of the analytics data includes generating a social rank of each user profile relevant to other user profiles in the social network. An advertising marketplace is implemented for use by ad marketers to purchase advertisement rights on a user profile webpage, to filter through user profiles in a social network for select user profiles with desired analytics data, and to generate advertisement campaigns targeted to the selected user profiles within a social network.

A computer-based method and system accomplish automatic optimization of a preferred merchandising figure of merit like revenue, profit, etc. by concurrent optimization of prices and in-store promotion schedules for groups of interrelated products in a supermarket or in a chain of supermarkets. The basis of the system is a statistical model that combines effects of prices, promotion schedules and other factors that could influence demands, and produces a flexible nonparametric predictive demand function that can be optimized simultaneously in prices and promotion schedules. The system generates demand predictions for groups of interrelated products by applying data mining procedures to historical database that contains sales data along with various sales conditions, adjusting statistical predictive demand models, and then optimizing them in prices and promotion schedules. The user can interact with the system by selecting and customizing optimization and prediction scenarios provided by the system, and by requesting customized reports with results of particular optimization and prediction schemes.

The present invention is directed to a method and system for measuring the biometric (physically, behaviorally, biologically and self-report based) responses of an audience to a presentation or interactive experience that provides a sensory stimulating experience and determining a measure of the level and pattern of engagement of that audience and impact of the presentation or interactive experience. In particular, the invention is directed to a method and system for measuring one or more biometrically based responses of one or more persons being exposed to the presentation in order to determine the moment-to-moment pattern or event based pattern and overall level of engagement. The method and system can include eye tracking to determine areas of the presentation that correspond to high and low levels of biometric responses suggesting high and low levels of visual impact. Further, the invention can be used to determine whether the presentation or the content in the presentation is more effective in a population relative to other presentations (or content) and other populations and to help identify elements of the presentation that contribute to the high level of engagement or impact and the effectiveness and success (or failure) of the presentation for that population.

A system and method for providing network access are disclosed. After connecting to a network at an access point, a user of a computing device registers for network access with a network provider. In response to the registration, the network provider sends a completion page to the computing device. The completion page includes a link to an embedded file such as a small, transparent GIF image. When the computing device retrieves the embedded file, the embedded file is associated with a header than includes an instruction to generate a network system identifier (e.g., a cookie). The network system identifier may be stored by the computing device and later used to identify the computing device as a registrant for network access with the network provider. The embedded file may also be sent at other times, such as after authentication of the user for network access.

A novel system and method of predicting a user's rating of a new item in a collaborative filtering system is described. The invention incorporates social network information in addition to user ratings to make recommendations. The distance between users in the social network is used to enhance the estimate of user similarities for collaborative filtering. The social network can be constructed explicitly by users or deduced implicitly from observed interaction between users.

A personal communication and electronic commerce system for use by participating users and participating merchants in connection with incentive programs in the Network Economy. The system includes a cellular communication network that includes geographically spaced base stations that are linked to a fixed communication network. Users may have personal communication devices that can be used to allow a digital message generated on the personal communication devices by placing a call through one of the base stations and memory for storing a digital value corresponding to a monetary value. The personal communication device may also be used as a cellular position locator to determine one's geographic location and, if desired, to access information from a merchant information database containing information pertaining to a plurality of participating merchants located within the geographic territory covered by the cellular communication network. The merchant information may be stored on a database that is accessible by merchants so those merchants can add, delete or alter information contained in their respective listings. An incentive system is also provided for creating incentives for participating users to encourage. This computer implemented incentive program for encouraging certain participant actions includes a first reward program under which participants may earn points for certain actions and a second reward program through which the redemption rate associated with a particular participant is adjusted in response to certain participant action. The incentive program has a wide range of applications, including transportation, financial services and computer gaming.

The present invention provides an adaptive process control and profit depiction system which is responsive to both process measurement input signals, economic inputs, and physical environment inputs. The process control system features an interactive optimization modeling system for determining manipulated process variables (also known as setpoints). These manipulated process variables are used to position mechanisms which control attributes of a manufacturing system, such as a valve controlling the temperature of a coolant or a valve controlling the flow rate in a steam line.

A method for regulating the asking and motivating the answering of questions via a computer network. The number and complexity of questions asked is controlled by a question regulation method, and the number and quality of answers provided is controlled by an answer evaluation method. The question regulation method permits users to post more numerous or more complex questions based on factors such as viewing of advertising, or provision of marketing information. The answer measurement method may be used to reward those who supply numerous or high-quality answers with premiums, public recognition, or employment opportunities.

A method, system and computer program product for assessing information security interviews users regarding technical and non-technical issues. In an embodiment, users are interviewed based on areas of expertise. In an embodiment, information security assessments are performed on domains within an enterprise, the results of which are rolled-up to perform an information security assessment across the enterprise. The invention optionally includes application specific questions and vulnerabilities and/or industry specific questions and vulnerabilities. The invention optionally permits users to query a repository of expert knowledge. The invention optionally provides users with working aids. The invention optionally permits users to execute third party testing/diagnostic applications. The invention, optionally combines results of executed third party testing/diagnostic applications with user responses to interview questions, to assess information security. A system in accordance with the invention includes an inference engine, which may include a logic based inference engine, a knowledge based inference engine, and/or an artificial intelligence inference engine. In an embodiment, the invention includes an application specific tailoring tool that allows a user to tailor the system to assess security of information handled by a third party application program.

Prospective customers may be selected for target making with respect to a particular product and market without the need to conduct designed marketing campaigns. A computer implemented process applies data mining techniques to databases containing records representing customer and overall market populations for the purpose of selecting market segments and prospective customers for targeted marketing.

A technique for effecting electronic commerce using a data network is described. The data network includes a plurality of subsystems which, together, form an integrated system for receiving customer orders for selected items via a data network, fulfilling the customer orders, and delivering the ordered products to the customers. Moreover, according to a specific embodiment, the integrated nature of the system architecture of the present invention allows the on-line merchant to provide a guarantee to the customer that the ordered items will be available to be delivered to the customer at the specified delivery date, time, and location.

The present invention is directed to generating audience analytics that includes providing a database containing a plurality of user input pattern profiles representing the group of users of terminal device, in which each user of the group is associated with one of the plurality of user input pattern profiles. A clickstream algorithm, tracking algorithm, neural network, Bayes classifier algorithm, or affinity-day part algorithm can be used to generate the user input pattern profiles. A user input pattern is detected based upon use of the terminal device by the current user and the user input pattern of the current user is dynamically matched with one of the user input pattern profiles contained in the database. The current user is identified based upon dynamic matching of the user input pattern generated by the current user with one of the user input pattern profiles. The present invention processes each user input pattern profile to identify a demographic type. A plurality of biometric behavior models are employed to identify a unique demographic type. Each user input pattern profile is compared against the plurality of biometric behavior models to match each user input pattern profile with one of the biometric behavior models such that each user input pattern profile is correlated with one demographic type. Audience analytics are then based upon the identified demographic types.

A merchant scoring system predicts and reports the likelihood that a merchant is reliable (e.g., trustworthy, honest, and reputable), which is expected to translate into a positive consumer experience. The system collects data from a variety of data sources, including combinations of the merchant, third-parties, and/or customers who have transacted with the merchant. A scoring model is executed on this collected data to determine an independent and objective merchant reliability metric that predicts the expected reliability of a merchant within a range. The system may also track transactions of individual merchants, populating a transaction history database with information about each merchant for use in this collection and scoring process. The transaction history data and other data may also be accessible to a prospective customer to build his or her confidence in and understanding of the merchant reliability metric and his or her trust of the merchant.

Various systems for collecting individual post-sale market data for products or services, and determining aggregate post-sale market data therefrom, are provided. In such systems, a sale of a product or service may trigger a third party, such as a payment provider, to arrange for the collection of individual post-sale market data from the consumer. Dependent upon the type of product or service involved, a schedule for continuously submitting post-sale market data for the product or service may be provided and the consumer may be encouraged to submit post-sale market data in accordance therewith through a variety of incentives. The received, individual, post-sale market data may be aggregated by one or more sources to determine aggregate post-sale market data for the product or service. The submitted individual data and/or the determined aggregate post-sale market data may then be provided to consumers in order to assist them in making purchasing decisions.

A system and method for selecting, ordering and distributing customized food products is disclosed. In one embodiment, the method is a computer-implemented method comprising viewing a list of additives for creating a customized food product, selecting one or more additives from the list of additives to create the customized food product, and transmitting a request to purchase the customized food product, which is then distributed to the consumer. By communicating with the manufacturer as to personal needs and desires pertaining to health, activity level, organoleptic preferences and so forth, the consumer can now develop and order a customized food product to suit his or her particular tastes, using a real-time interactive communication link.

Methods and systems for publishing a playlist are disclosed. A user generates or selects a playlist, which is then provided (e.g., uploaded) for publishing. A playlist identifying at least one of one or more tracks and one or more albums is received. The playlist may then be published such that the playlist is viewable by one or more individuals. A user may then purchase one or more tracks/albums identified in the playlist via an online store.