5982 results about "Habit" patented technology

A smart agent (SA) is provided which resides locally in a local client device and by iterative means integrates the habit, statistics and psycho-demographic information of a user to infer the user's preferences. The SA may also utilize the preferences to filter information delivered to the local device. The invention further discloses a means of collecting, combining, integrating and inferring information from the user to arrive at a psycho-demographic profile of the user, and a means of utilizing such psycho-demographic profile to select or filter information delivered to the user, thereby achieving targeting. The invention also discloses a means of classifying and identifying the information delivered so that it can be matched, filtered or selected.

A system residing preferably in a television set-top box monitors the television watching habits of one or more viewers and creates one or more profiles for each viewers descriptive of various characteristics of each viewers, including television watching preferences and demographics. The set-top box is able to select among various available video programming segments to create customized and / or targeted video programs for delivery to the viewer or viewers as a linear program. The customized linear video programs may include targeted content, advertising, and other video programming.

Computer network method and apparatus provides targeting of appropriate audience based on psychographic or behavioral profiles of end users. The psychographic profile is formed by recording computer activity and viewing habits of the end user. Content of categories of interest and display format in each category are revealed by the psychographic profile, based on user viewing of agate information. Using the profile (with or without additional user demographics), advertisements are displayed to appropriately selected users. Based on regression analysis of recorded responses of a first set of users viewing the advertisements, the target user profile is refined. Viewing by and regression analysis of recorded responses of subsequent sets of users continually auto-targets and customizes ads for the optimal end user audience.

Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.

Methods and systems are disclosed that allow a user to efficiently navigate media selections in an interactive media guidance application and easily identify media for viewing. The disclosed methods and systems provide an environment wherein video assets are displayed according to a user preference on a mosaic page with multiple cells. A subset of the assets appropriate for display in a particular cell is determined based on the user preference. Relevance scores of the assets meeting the user preference are computed, and the asset having the greatest relevance for the user is selected and displayed the corresponding cell. The relevance scores can be computed based on the user's historic viewing habits, user interaction with a media guidance application, or on specific user input.

A computer-implemented method for targeting marketing content to an online user, includes the steps of collecting data describing the user in a user profile, comparing the user profile with a target profile and presenting the user with content based on the comparison. The user profile includes a photographic likeness of the user, as well as information derived from the user's photographic likeness. Certain content may be dynamically created for the user based on the user profile and may include the photographic likeness of the user, which may be altered to incorporate a portion of the content into the photographic likeness. In this manner, personalized advertisements for cosmetics, jewelry, clothing and other items may be created. The user profile also includes data describing the user's browsing habits and responses to context-specific survey questions. In one embodiment, metrics are assigned to the user profile data, and a data index identifying the user's preferences and purchasing habits is calculated for the user based on the assigned metrics. Each metric may also have an associated confidence factor, which causes the metric value to decay over time.

The most preferred embodiment of the present invention is a computer-based decision support system that includes three main components: a database mining engine (DME); an advertising optimization mechanism; and a customized user interface that provides access to the various features of the invention. The user interface, in conjunction with the DME, provides a unique and innovative way to store, retrieve and manipulate data from existing databases containing media-related audience access data, which describe the access habits and preferences of the media audience. By using a database with a simplified storage and retrieval protocol, the data contained therein can be effectively manipulated in real time. This means that previously complex and lengthy information retrieval and analysis activities can be accomplished in very short periods of time (typically seconds instead of minutes or even hours). Further, by utilizing the advertising optimization mechanism of the present invention, businesses, networks, and advertising agencies can interactively create, score, rank and compare various proposed or actual advertising strategies in a simple and efficient manner. This allows the decision-makers to more effectively tailor their marketing efforts and successfully reach the desired target market while conserving scarce advertising capital. Finally, the user interface for the system provides access to both the DME and the optimization mechanism in a simple and straightforward manner, significantly reducing training time.

A vehicle navigation system that is capable of learning user habits / preferences, mistakes in a digital map database, and new roads that may have been added or constructed after release of the digital map database is disclosed. The vehicle navigation system monitors a driver's habits and updates a database to thereby cause the vehicle navigation system to have a preference for the driver's habits. The vehicle navigation system may also monitor the geographic position of the vehicle and allow the driver to update or change data contained in the digital map database if an error exists. The vehicle navigation system is also capable of learning new roads that exist that are not included in the road network map of the digital map database and is also capable of adding these new roads to the digital map database.

A hybrid manual / programmable thermostat for a furnace or air conditioner offers the simplicity of a manual thermostat while providing the convenience and versatility of a programmable one. Initially, the hybrid thermostat appears to function as an ordinary manual thermostat; however, it privately observes and learns a user's manual temperature setting habits and eventually programs itself accordingly. If users begin changing their preferred temperature settings due to seasonal changes or other reasons, the thermostat continues learning and will adapt to those changes as well. For ease of use, the thermostat does not require an onscreen menu as a user interface. In some embodiments, the thermostat can effectively program itself for temperature settings that are set to occur at particular times daily or just on weekends, yet the user is not required to enter the time of day or the day of the week.

A method to support a user adopting healthy habits and behaviors includes viewing lectures on healthy habits and behaviors, the lectures being stored on a computing device. A current level of the user's behavior after receiving background information from the user is presented to the user. An action goal is set and stored. An action plan is created to reach the action goal and the action plan is stored. Behaviors of the user are tracked by receiving input regarding the behaviors and behavior measurements are generated. Results are generated by comparing the behavior measurements against the action goal and the action plan. Information is displayed to assist the user to overcome barriers in order to reach the action goal.

A system and method for monitoring media audience habits and for obtaining real time responses to survey queries posed to a user from a survey provider concerning programming experienced by the user. A media program identifier located in an environment containing a primary media receiving device identifies media programming experienced by the user on the primary device. An input unit also located in the environment containing the primary receiving device obtains user identification and user demographics information by receiving responses to specific queries from the user. Survey queries concerning programming experienced by the user are provided to the user on the input unit or the primary receiving device for responding thereto. The programming identification, user identification and demographics information as well as survey query responses are then transmitted to a survey provider for use in deriving media program ratings information.

A method and method that builds accurate operational profiles for COTS software. The systems and methods disclosed allow software vendors to detect misused and unused features; identify common machine configurations for a given piece of software or software component; monitor changing user habits as new software version are released; derive more accurate testing methods for in-house testing purposes; and create user manuals which focus on those features most frequently used, or misused, by users. The disclosed system and method provides the tools enabling a software certification laboratory (SCL) to gather detailed usage data and failure data for a software application as it is used in the field. With this data the SCL can confidently issue certificates of reliability for software products.

A hybrid manual / programmable thermostat for a furnace or air conditioner offers the simplicity of a manual thermostat while providing the convenience and versatility of a programmable one. Initially, the hybrid thermostat appears to function as an ordinary manual thermostat; however, it privately observes and learns a user's manual temperature setting habits and eventually programs itself accordingly. If users begin changing their preferred temperature settings due to seasonal changes or other reasons, the thermostat continues learning and will adapt to those changes as well. For ease of use, the thermostat does not require an onscreen menu as a user interface. In some embodiments, the thermostat can effectively program itself for temperature settings that are set to occur at particular times daily or just on weekends, yet the user is not required to enter the time of day or the day of the week.

A method and system for In-Dash Multimedia Players or Portable Multmedia Players for automotive, aviation, boating, and personal use that, exploiting the services and capabilities of the Digital Wireless Network DWLN (107), such as 3G network, and buffering the live stream data on both the Server (101) and User Equipment (111), combines in a novel synergistic integration a suite of new and known features such as: immediate and uninterrupted listening / viewing of Live Streaming Media LSM (109) by the user with or without optimization of the data bandwidth, and the provision to customize the commercial messages according to the user location, and the capability of reporting the customer choices and habits, and the automatic deletion of LSM after the time-shift time to benefit from copyright agreements.

The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-independent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment (e.g., early morning, late morning, early afternoon, late afternoon, primetime, late night) and / or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item. A selections value may be reduced as the selection ages because a user is less likely to view the selection over time. Additionally, a value of a selection may change based on changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies.

Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day / week, driver ID) and / or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and / or models can be used in selecting a best route for user.

Methods and systems for scheduling media content presentation across multiple devices are disclosed. A media planner application generates media event presentation schedules for one or more users based on user-scheduled media events and automatic media event recommendations. Media events can be scheduled for presentation on multiple user devices, including portable devices. Media event recommendations can be generated based at least in part on user preferences and habits, such as user media preferences, device availability, device usage, device connectivity, and user mood.

The current invention is directed to a system for adaptive medical decision support. The invented system provides a system that allows users to efficiently enter, access, and analyze medical information, without disrupting patient-doctor interactions or medical facility course of business; which assists in all stages of medical assessment and treatment; and which is tailored to the particular medical practice or specialty and taking into account the developing habits, preferences, performance, and individual patient histories, of an individual user. The invention provides a learning capacity configured to learn previously presented data and decisions and predict data or decisions based on data that it receives from the user, thereby adapting its operations to the developing habits, preferences, performance, and individual patient histories of an individual user. The system may also provide a “virtual specialist” feature, whereby the system can be instructed to produce the probable actions or recommendations of particular medical specialists.

A predictive destination entry system for a vehicle navigation system to aid in obtaining a destination for the vehicle. The navigation system utilizes a memory for storing data relating to prior driving history or habits. A processor connected with the memory examines the information stored in the memory for making predictions for the current destination desired by a user of the vehicle. The information stored in the memory may be segregated into distinct user profiles and may include the vehicle location, previous driving history of the vehicle, previous searching history of a user of the vehicle, or sensory input relating to one or more characteristics of the vehicle. The navigation system may either confirm the predicted destination with the user of the vehicle before generating or displaying a travel route to the predicted destination or may automatically generate and display the travel route without verifying the destination with the user.

A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and / or linked and / or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and / or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver.

A system and method for issuing variable level rewards to card holders according to expenditures in transaction categories. Card transactions for a specified period of time are classified by codes and are assigned to one of several transaction categories such as entertainment, travel, dining, sporting goods, and electronics. A total amount of expenditures for each transaction category is determined. The transaction category with the largest value of expenditures is determined. The highest available reward is applied to the total amount of expenditures in the transaction category that has the largest value of expenditures. Consumers may take advantage of a high level or more valuable reward in a multi-level reward structure regardless of their spending habits or patterns because the more valuable reward is applied to the expenditures in the largest expenditure transaction category.

Techniques to collect data indicative of viewer habits and preferences relating to television viewing and / or use of a user interface (e.g., an interactive program guide) provided at the terminal. Various types of information may be collected to identify and track the habits and preferences of the viewers. For example, the viewers' interaction with the terminals, selections made by the viewers, requests for particular programming, demographic information, and others, may be collected for the viewers. These various types of information (i.e., "trend" data) may be continually collected by an application executing at the terminal, temporarily stored in a storage unit, and thereafter reported (e.g., periodically, or upon request) to a head-end of an information distribution system. The head-end may analyze the trend data, and may select and provide programming, advertisements, and other contents targeted to the terminals based on the analyzed data.

A system sends firmware updates from a telemetry system to a monitoring device. One or more sensors are coupled to a monitoring device that has a unique user ID. The sensors acquire user information selected from of at least one of, a user's activities, behaviors and habit information. ID circuitry at the monitoring device includes ID storage, a communication system that reads and transmits the unique ID from an ID storage, a power source and a pathway system to route signals through the circuitry and elements to enable installation of firmware updates. A telemetry system is in communication with the one or more sensors and includes a database of user ID's. The telemetry system analyzes telemetry data from the monitoring device based on at least one of, user's activities, behaviors and habit information and creating personalized information about the user.

Maintaining a file specifying a “donut” of dynamic, hierarchical, shared user-profile information. The donut contains a user profile or acts as a key to a data repository containing it, and it specifies user-profile information such as user characteristics, viewing preferences, hobbies, and spending habits. The donut is accessed by browser programs, associated web server programs, and other applications for use in routing content to the user associated with the donut.

A method for detecting and analyzing driving performance and habits as well as road conditions utilizes a smartphone having an accelerometer and a microphone. Acceleration in the x, y, and z axis can be measured as a function of time and at particular velocities to provide valuable information about driver habits, vehicle performance, and road conditions.

The present invention provides methods for improving the performance of a consumer wrinkle control composition by making the composition available to the consumer and providing information to the consumer concerning the use of the composition to control wrinkles in fabrics without the application of heat. Information may be provided by teaching educational elements and disseminating educational elements to consumers in an efficient, effective, and affordable manner as well as techniques for heightening consumer awareness of the product. The information that is provided to the consumer may concerns the use of the composition to remove or control wrinkles in fabrics without the application of heat, instructions for the proper use of the product, the product's effectiveness, the appearance of the fabric in the finished state after treatment, how the product can be incorporated into the consumer's everyday habits and lifestyles, additional non-wrinkle related benefits that may be achieved with the product and how the composition can be effectively and safely used by most members of the consumer's household. Also provided are methods for prolonging or extending the useful life of fabric items that require frequent and repeated laundering processes and that are prone to cause incremental damage to fabric fibers. The useful life of such fabric items is prolonged by enabling the item to be revitalized or renewed for rewear without laundering, thus reducing the number of launderings and the resulting damage to fabric fibers over a given period of time.

The smart phone and tablet applications are akin to news and media websites available on the Internet in that the applications provide the latest content, richest media experience and an evolving community around the brand. The disclosure provides an efficient and inexpensive process and system for creating and managing of software applications for multiple smart phone and tablet platforms via an online platform. The systems and processes facilitate creation of applications, which communicate with a workflow implemented and powered by an online server. The systems also provides a feed server system that continuously fetches content from various feed sources, aggregates content, and maps into a local data model that can be defined dynamically. The applications are containers that request content from the served based on a token that is preinstalled into the application. The containers are built with the mechanism to bind data to layouts dynamically using the scripting code downloaded from an online server. The data, layouts and code can all be changed by the app creator on the fly. Based on the specifications of the device making the request, the token content is preprocessed and served to the application in the correct format for the receiving device. The apps combined with the online app server also provide mechanism to gather analytics about content consumptions habits, location analytics, and application usage patterns all of which could be used to curate content to be served back to the app users.

This method and apparatus for automated differential diagnosis of illness utilizes neural network technology to analyze information that has been collected and assimilated from multiple sources, including information concerning lifestyle and travel habits, occupational and environmental risks and other contributory factors, and compares this information to, and incorporates it into, databases, to render diagnoses as well as alerts regarding anomalous concentrations of illnesses. The invention has similar application in the area of mechanical maintenance and repair.

A system for the automated preparation and delivery of customized beverages is disclosed. The system is deployed as a kiosk or similar device and provides an automated user-customizable drink purchasing experience. The user can select the desired base, add-in ingredients, etc. and receive a drink that has been prepared in accordance with the user preferences. In addition, individual and aggregate user preferences and purchasing habits (e.g., quantity and type of drink purchased, frequency of purchases, location of purchases, etc.) can be tracked, stored, and used to provide targeted marketing messages, including special discounts, promotions, etc.

Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day / week, driver ID) and / or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and / or models can be used in selecting a best route for user.