445 results about "Preference data" patented technology

A system for electronic commerce (10) having personal agents (12 and 13) that represent consumers and providers in a virtual marketplace (28). Consumer personal agents conceal the identity of the consumer and are capable of creating decision agents (14) that shop for products and assist consumers in comparing and ranking products. Provider personal agents are capable of creating demand agents (16) that quantify demand and target specific consumers without learning the identity of the consumers. Based on data generated by the activities of the decision agents and on preference data maintained by consumer personal agents, provider personal agents can quantify current, historical, and future demand, simulate demand, and target specific consumers for advertising and other messages. Provider personal agents can cooperate with consumer personal agents to collect data about reasons for sales and lost sales and to offer consideration payments to consumers. Consumer personal agents can automatically reject unsolicited messages that do not satisfy the consumer's preferences.

An advertisement selection and delivery system for selecting advertisements based on profile information and rendering the advertisements as accessible to a user operating a network-capable appliance connected to a data-packet-network is provided. The system comprises, a first server node connected to the network, the first server node functioning as a user access point on the network, a mass storage repository accessible to the first server node, the repository for storing and serving user profile data, a second server node connected to the network, the second server node for generating user preference data, at least one advertisement server connected to the network, the advertisement server for serving advertisement data, a software application for generating user preference lists and performing advertisement selection and at least one network-capable appliance connected to the network the network-capable appliance for receiving the advertisement data. A user operating the network-capable appliance accesses the first server node and receives the advertisement data, the advertisement data selected for service by matching the user preference data to stored advertisements and rendered accessible to the user during the time of user access to the system from the network-capable appliance.

The invention relates to methods and systems for receiving, processing and fulfilling remotely placed orders. In one aspect, requests to place an order are received from a remote location, and based on a customer identifier included in the request, customer preference data is retrieved. An electronic selection menu based on customer preference data is transmitted to the customer, the order is received and prepared. The customer's arrival is automatically detected, and the completed order is provided to the customer.

An apparatus, program product, and method collect musical preference data from a plurality of digital media players and generate therefrom a “collaborative” playlist of media files. The collaborative playlist may be used, for example, to identify and play back media files that most, if not all, of the users of the digital media players would likely find enjoyable.

A method for verifying specific profile, legal, and social preference data responses for generating a selectively approved membership database. Membership security is completed with a biometric security authentication of each member upon member logon. A media player is used for recording and delivering video on demand; live video broadcast communications, and video / audio relational database management as well as searching the database for Digital video and audio content defined by indexed unique hint track data. Live video conferencing is available utilizing bandwidth scheduling methods for quality video control and creating audit logs for member accountability and content control.

A playlist containing a plurality of tracks is filtered to generate a customized subset or window of tracks for playback. The method includes automatically determining user preference data for each of the plurality of tracks based on the user's conduct when each of the plurality is accessed for playback. The tracks in the playlist are reordered after each track is accessed based on the user preference data. A subset of the playlist is selected for playback based on the reordered track arrangement.

A method, system, and medium are provided for more specifically routing a communications request in an environment where an intermediary facilitates the request. The method includes retrieving a set of preferences associated with an initiator of the request, retrieving profile data related to multiple facilitators who may respond to the communications request, and selecting a specific facilitator based on the set of preferences and profile data. The system includes a preferences database for storing information related to calling preferences of a caller; a profiles database for storing a set of attributes associated with a plurality of agents who facilitate calls between parties; and a set of embodied computer-useable instructions for referencing the preferences database and the profiles database incident to receiving the communications request to designate an order to one or more of agents to satisfy the communications request.

A navigation system and method incorporating the use of a navigation system that provides alternate routes to an initially selected route based upon updated, real time parameters. The system is provided with user preference data that is used when developing the initial route and alternate routes. The system may be programmed to only provide alternate routes if a predetermined improvement in efficiency is potentially available.

An advertisement selection and delivery system for selecting advertisements based on profile information and rendering the advertisements as accessible to a user operating a network-capable appliance connected to a data-packet-network is provided. The system comprises, a first server node connected to the network, the first server node functioning as a user access point on the network, a mass storage repository accessible to the first server node, the repository for storing and serving user profile data, a second server node connected to the network, the second server node for generating user preference data, at least one advertisement server connected to the network, the advertisement server for serving advertisement data, a software application for generating user preference lists and performing advertisement selection and at least one network-capable appliance connected to the network the network-capable appliance for receiving the advertisement data. A user operating the network-capable appliance accesses the first server node and receives the advertisement data, the advertisement data selected for service by matching the user preference data to stored advertisements and rendered accessible to the user during the time of user access to the system from the network-capable appliance.

Apparatus and methods are described for assisting a requester to identify and reserve a resource that meets the need of the requestor's request. For example, a request can be augmented using augmentation data, such as current position and requester preferences, and resources are located and ranked according to their match against the augmented request. A person who is the requester may engage in another attention demanding task, such as driving a car, while resources well matched to preferences are located. Preference data may be determined from social network data, a preference file, and / or other sources.

Various embodiments for providing enhanced battery conservation in mobile devices are described. In one or more embodiments, a mobile computing device may include a processor and a battery to supply power to the processor. The device may store user pattern data and / or user preference data. The device may further include a power management module coupled to the processor. The power management module may monitor a location of the device, wireless signal strength, and date / time. The power management module may also monitor and analyze user operation of the device to identify scenarios in which wireless communications can be suspended. The power management module may suspend wireless communication according to these monitored conditions, and analyzed user operations, to reduce battery consumption. Other embodiments are described and claimed.

A Point-of-Entry Kiosk loyalty system, couponing system, and shopping list system is provided so when a consumer enters a store, kiosk(s)s may be present for consumer check-in. When at or within proximity of the kiosk (e.g., from an RFID enabled cell phone) the consumer may log in or be recognized. The consumer may swipe a coded loyalty card, enter their loyalty number or data may be automatically entered through RFID technology or smart phone. The consumer may be presented with discount or coupon offers or shopping suggestions, which may be based on the consumer's prior preferences, demographic data, prior purchases, or preference data harvested from various social networking sites, search engines, or other websites used by the consumer.

A method and system of providing user profiling for an electrical device is disclosed. Face representation data is captured with an imaging device. The imaging device focuses on the face of the user to capture the face representation data. A determination is made as to whether a facial feature database includes user facial feature data that matches the face representation data. User preference data is loaded on a memory module of the electrical device when the face representation data matches user facial feature data in the facial feature database. A new user profile is added to the user profile database when the face representation data does not match user facial feature data in the facial feature database.

Systems and methods are described that automatically adjust a value of a parameter relating to the delivery of media content, such as audio content or image content, based on both environmental conditions and on automatically-learned user preference data. For example, a first embodiment adjusts a volume setting used to control the delivery of an audio signal based both on environmental noise conditions and upon automatically-learned user preference information, wherein the user preference information is derived by monitoring user-implemented adjustments to the volume setting after application of an automatic adjustment thereto. As another example, a second embodiment adjusts a brightness setting used to control the brightness of a display used for rendering images based both on an ambient light level and upon automatically-learned user preference information, wherein the user preference information is derived by monitoring user-implemented adjustments to the brightness setting after application of an automatic adjustment thereto.

The invention discloses a personalized recommendation method. The method comprises the following steps of: acquiring basic data; processing and classifying the basic data, and analyzing the interest and preference of a purchaser on the basis of historic operation behavior records of the purchaser; filtering and collecting seller information and product information according to a preset rule; correspondingly acquiring a set of products to be recommended according to the interest and preference data information of the purchaser, the seller information and the product information on the basis of a preset matching algorithm; de-duplicating, sorting, weighting and standardizing all products to be recommended, and thus obtaining N optimally-matched products which serve as a recommendation result; and displaying the final recommendation result to the purchaser. By adoption of the personalized recommendation method, the product information which is in accordance with the interest and preference of a user can be accurately recommended to the user in the conventional electronic-commerce business-to-business (B2B) website.

Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.

A method for improving web search results based on analysis of users' offline activities that are related to their online search. Web search results, including local search results, for a user may be improved by monitoring the actions of users when not interacting with the web search engine. By monitoring “offline” activities (e.g., telephone calls) and matching a person participating in an activity (e.g., the person making a telephone call) to a search engine user, a set of preferences for a given user may be determined, which may be used to select and sort web search results for that user. Preference data for one user may be used to select and sort web search results for other users, including those for which the search engine does not have preference data.

Content recommendation includes: determining a plurality of user behavior categories pertaining to a plurality of user behaviors by a plurality of users within a period of time, and a plurality of user behavior frequencies corresponding to the plurality of user behavior categories; determining whether the number of user behavior categories exceeds a preset category threshold; in the event that the number of user behavior categories exceeds the preset threshold, excluding one or more user behavior categories such that the number of remaining user behavior categories does not exceed the preset threshold; determining, based at least on the remaining user behavior categories and corresponding user behavior frequencies, user preference data comprising frequency distribution information of a plurality of pieces of content information targeted by user behaviors in the remaining user behavior categories; and recommending content information to a user based on the user preference data.

As the density of Electric Vehicle deployments in residential neighborhoods increase, demand on local power grids may exceed the local utility power supply causing local brown outs or transformer failure. The invention describes a method and process which enables the acquisition and efficient RF transmission of data that enables utility customers, utilities and / or other controlling entities to collaboratively regulate the timing and rate of Electric Vehicle battery charging in a manner that avoids peak-load related transformer failures.

The present disclosure provides an augmented reality mobile communication device and a method and system thereof, which can provide digital content items to individual users by reflecting a user preference associated with user circumstances in the provision of augmented reality. The augmented reality mobile communication device includes: a context inference unit that receives sensory information and predicts a user context regarding a user of a mobile communication device based on the sensory information; a transmission unit that transmits user context data to a server; a receiving unit that receives a personalized content item from the server, the personalized content item being generated based on user profile data and user preference data corresponding to user context data; and an augmented reality content renderer that overlays the received personalized content item on an image captured by a camera.

Systems and methods to select media content are provided. A particular method includes generating a media playlist based on user preference data and generating a user interface display. The user preference data indicates proportions of each of a plurality of categories of media content to be present in the media playlist. The user interface display presents the user preference data using adjustable bars. Each bar is associated with one of the categories of media content, and a dimension of each bar is associated with the proportion of the respective category of media content included in the media playlist. The method includes receiving user input adjusting the dimension of a first bar associated with a first category of the plurality of categories of media content. The method includes adjusting the proportion of the first category of media content included in the media playlist based on the user input.

A system may generate action requests for a service management system. A user preference data store may contain electronic records for a set of users, including, for example, at least one user preference value. A back-end application computer server may receive, from a remote user mobile device, an indication associated with an event. The server may then determine at least one location coordinate associated with the event and select a sub-set of service providers from a service provider data store based on the location and at least one user preference value. The server may generate an action request for a designated one of the sub-set of service providers in accordance with logic based rules and transmit information about the action request to the designated service provider and the remote user mobile device. The server may receive an action request update and transmit a modified action request to another service provider.

A search engine for databases, data streams, and other data sources allows user preferences as to the relative importance of search criteria to be used to rank the output of the search engine. A weighted preference generator generates weighted preference information including at least a plurality of weights corresponding to a plurality of search criteria. A weighted preference data search engines uses the weighted preference information to search a data source and to provide an ordered result list based upon the weighted preference information. A method for weighted preference data searching includes determining weighted preference information including a plurality of search criteria and a corresponding plurality of weights signifying the relative importance of the search criteria, and querying a data source and ranking the results based upon the weighted preference information. In addition to allowing client input of the relative importance of various search criteria, the system and method also preferably include the ability to provide a subjective ordering for at least some of the search criteria.

A routing method and system. The method includes receiving by a global positioning satellite (GPS) transceiver, a user profile comprising user preference data and destination location data. The GPS transceiver retrieves first geospatial coordinate values for a current location of the user and a destination location. The GPS transceiver processes the user profile and the first geospatial coordinate values to identify a geographical route for traveling from the current location to the destination location. The GPS transceiver retrieves current traffic speed / traffic density data and historical traffic speed / traffic density data associated with second geospatial coordinate values for various locations located along the first geographical route. The GPS transceiver processes the current traffic speed / traffic density data and the historical traffic speed / traffic density data to determine if the first geographical route comprises an efficient geographical route for the user.

A method is presented for enforcing a privacy policy concerning management of personally identifiable information in a centralized manner through a privacy proxy agent. A proxy intercepts a message from a first system to a second system, e.g., from a server to a client, and determines whether the message is associated with an operation on personally identifiable information; if not, then the proxy sends the message to the second system, but if so, then the proxy determines whether the operation on the personally identifiable information is compliant with a privacy policy and with user preference information with respect to the privacy policy for a user who is associated the personally identifiable information. If the message is compliant with the privacy policy and user preference data, then the proxy sends the first message to the second system; otherwise, an error indication is returned to the first system.

A natural language dialogue method and a natural language dialogue system are provided. In the method, a first speech input is received and parsed to generate at least one keyword included in the first speech input, so that a candidate list including at least one report answer is obtained. According to a properties database, one report answer is selected from the candidate list, and a first speech response is output according to the report answer. Other speech inputs are received, and a user's preference data is captured from the speech inputs. The user's preference data is stored in the properties database.

A robotic cooking apparatus that can cook dishes using a computer recipe provided by a user and ingredients stored in it. Able to adjust the recipe based on user preference data. Cooking apparatus comprises of ingredient input section, cooking stations, pre-processing and post-processing station. Input section has trays and can be at room temperature or refrigerated for storing perishable ingredients. Robot head assembly is able to transfer ingredients, identify and measure as well as take inventory periodically. Cooking apparatus is connected to a network and can be operated remotely by a fixed or handheld device and monitor its operation remotely.

A search engine for databases, data streams, and other data sources allows user preferences as to the relative importance of search criteria to be used to rank the output of the search engine. A weighted preference generator generates weighted preference information including at least a plurality of weights corresponding to a plurality of search criteria. A weighted preference data search engine uses the weighted preference information to search a data source and to provide an ordered result list based upon the weighted preference information. A method for weighted preference data searching further includes allowing a user to re-rank the ordered result list and determine newly updated weighted preferences based on the re-ranking process. A plurality of weights signifying the relative importance of the search criteria may also be generated by the user inputting an ordered list. This ordered list may be a single alternative or a plurality of alternatives.

A method is provided for providing audio content to a user, the user being uniquely associated with a mobile communications device that is in wireless communication with a host system via a communications network, the method comprising. The method comprises receiving from the user via the communications network a request for audio content relating to a known point of interest (POI). The request includes a unique user identifier associated with the user and a unique POI identifier associated with the known point of interest. Profile preference data are retrieved from a first storage device of the host system, the profile preference data being stored in association with the unique user identifier and relating to at least one predefined preference of the user. A first audio content fragment is retrieved from a second storage device of the host system, the first audio content fragment selected from a plurality of available audio content fragments in dependence upon the retrieved profile preference data and the unique POI identifier. The retrieved first audio content fragment is then provided to the user via the communications network the.