Patent classifications
G06Q30/0254
System and Method for Targeted and Customizable Advertising and Enhanced Hygiene Using Integrated Blockchain Management
Highly customized and targeted communications content may be pre-programmed or customized, configured, and delivered on the fly by an interactive media communication system comprising a network connected video screen and faucet combination. Individual and aggregated statistics about encounters with the content may be captured. Each unit in the network will also capture encounter-specific data to associate with each person and encounter such as dwell time in general, dwell time as a function of displayed media, environmental conditions, time of day, presence of other people, location of encounter, etc. In addition to targeted marketing, the interactive media communication system may be used to stimulate and motivate enhanced hygiene by introducing media elements and gamification into the hand washing ritual. Management can track employee and guest compliance with idealized hand washing activity.
Method and apparatus for enabling an application to detect specified circumstances
Methods and systems are provided that may be utilized to detect occurrence of one or more specified circumstances. A determination may be made as to whether one or more specified circumstances are detected such as responsive to one or more user actions or an occurrence of an event unrelated to a user. One or more binary digital signals may be generated to store a detection of one or more specified user circumstances in a log or memory at least partially in response to detection of the one or more specified circumstances.
Systems and Methods for Selecting Content Based on Linked Devices
A system includes a data processing system comprising one or more processors. The processor(s) are configured to identify one or more linking factors to determine that a first computing device is linked to a second computing device, with a certain probability, where the second computing device is proximate to the first computing device. The processor(s) are further configured to link the first computing device with the second computing device based on the determining, receive a request for content from the first computing device, provide the content to the second computing device, and generate a data structure to indicate a link between the first computing device and the second computing device.
CREATING AN EFFECTIVE PRODUCT USING AN ATTRIBUTE SOLVER
Disclosed here is a system that can obtain attributes of an advertisement, where an attribute has a continuous value, and a range of acceptable values is uncertain. The system can create a file including contents that when provided to a predetermined function produce a value of the attribute. Based on the file, the system can generate values corresponding to the attributes. Based on the generated values, the system can create the advertisement. The system can obtain a response data to the created advertisement and can fit a multidimensional function to the attributes and the user response data. Based on the multidimensional function, the system can determine next values and next ranges, where the next values and the next ranges indicate an improvement in the response data.
METHODS AND APPARATUS TO PERFORM COMPUTER-BASED MONITORING OF AUDIENCES OF NETWORK-BASED MEDIA BY USING INFORMATION THEORY TO ESTIMATE INTERMEDIATE LEVEL UNIONS
Methods, apparatus, systems, and articles of manufacture to perform computer-based monitoring of audiences of network-based media using information theory to estimate intermediate level unions are disclosed. An example apparatus to determine a deduplicated, census-based audience metric of media includes panel union calculator circuitry to calculate a threshold statistic corresponding to an intermediate union of a panel hierarchy, and census union calculator circuitry to calculate a deduplicated audience value corresponding to the intermediate union of the census hierarchy based on the threshold statistic.
System and method for automatically assigning a customer call to an agent
Systems and methods described herein can automatically route an inbound call from an identified customer to one of a plurality of agents, the agent being selected on the basis of likelihood of a favorable outcome. The method determines a predictive model appropriate for the identified customer, with model variables including call center data, and targeted marketing data based upon risk data for the customer. An analytical engine calculates outcome predictions by applying the predictive model to values of model variables over a recent time interval. In a time-series analysis, this calculation is repeated while dynamically adjusting the recent time interval, until identifying a call routing option that satisfies a favorable outcome criterion. This method may be used to select the agent to handle the incoming call, and optionally to select a product for that agent to discuss with the identified customer.
SYSTEM AND METHOD FOR REDEEMING A REWARD
Systems and methods for redeeming a reward held by an individual are described. A method for redeeming a reward includes determining threshold criteria for provision of a targeted reward redemption offer, identifying at least one individual based upon the threshold criteria, determining the targeted reward redemption offer, and providing the targeted reward redemption offer to the identified individual. A response to the provided targeted reward redemption offer may be received, and an account of the identified individual may be adjusted in accordance with the targeted reward redemption offer and the received response.
SYSTEMS AND METHODS FOR ENHANCING USER DATA DERIVED FROM DIGITAL COMMUNICATIONS
A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.
Systems, Devices, and Methods for Dynamically Generating, Distributing, and Managing Online Communications
This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.
Determining collaboration recommendations from file path information
Methods, systems and computer program products for recommendation systems. Embodiments commence by gathering a set of pathnames that refer to content objects of a collaboration system. A tokenizer converts at least some of the pathnames into vectors. The vectors comprise hierarchical path components such as folder names or file names, which vectors are labeled with an indication as to whether or not the folder or file referred to in a particular vector had been clicked on by one or more users. Some portion of the labeled vectors are used to train a predictive model. Another portion of the vectors are used to validate the predictive model. When the model exhibits sufficient precision and recall, the predictive model is then used to predict the probability that a particular user would have an interest in a particular folder or file. The folder name or file name is presented as a collaboration recommendation.