Abstract: Aspects of the subject disclosure may include, for example, obtaining a session record including properties visited by a consumer during a sample period and extracting, from the session record, a select group of properties associated with a particular category of a predetermined taxonomy of various marketplaces. A breadth value of the select group of properties visited during the sample period is determined according to a number of unique properties of the select group of properties. A depth value of the properties visited during the sample period is also determined according to an extent of consumer interaction with content of properties of the select group of properties. A change point, indicating a state transition along a purchase cycle, is determined based on variations in distributions more than one of the breadth, depth, and recency values without relying on an assumption of a specific parametric family. Other embodiments are disclosed.

Abstract: A method and apparatus for estimating sales across a market with incomplete information taken from one or a plurality of exchanges, is disclosed. Inventory is observed disappearing from the exchanges. There is some probability that the inventory disappeared because it was sold, and some probability that it was withdrawn by the broker for a variety of other reasons. Disappeared inventory is assigned a score that correlates with the likelihood of the listing having been sold. A list of these inferred sales is generated by comparing the score to a threshold. A further refinement removes items from the list should the sold inventory return to the market.

Abstract: Example technical solutions to determine census-level audience metrics across demographics are disclosed. Disclosed example apparatus include a distribution parameter solver to initialize distribution parameter values for a probability of an individual within a demographic being (i) included in a subscriber audience for the demographic and (ii) having a first impression duration, the subscriber audience having a first subscriber audience size. Disclosed example apparatus also include a divergence parameter solver to determine divergence parameter values between (i) the first subscriber audience size and the first impression duration and (ii) a census-level audience size and a second impression duration based on the initialized distribution parameter values.

Abstract: Systems and methods for processing qualitative responses from a plurality of user devices whereby a selection of a next thought object, to deliver to a first user device, may be based on a plurality of qualitative responses received from a plurality of user devices. In a preferred embodiment, a thought object selection computer may compute the selection by determining a filtered set of thought objects by custom selection. In some embodiments, if the quantity of the filtered set of thought objects is greater than a pre-configured amount the selection may be computed by randomly selecting a subset of the filtered set of thought objects. Further filtering the filtered set of thought objects by determining one or more least seen thought objects, and selecting a most diverse thought object, updating the filtered set of thought objects and sending the filtered set of thought objects to the first user device.

Abstract: Software user interfaces, methods, and systems provide highly interactive survey questions on mobile internet devices. The software user interfaces are uniquely designed to provide the intensive use of rich media in questions and answers that are delivered on small screens of mobile internet devices, to incorporate unique modes of interaction, and to integrate the array of inputs that are now ubiquitous in such devices into novel response mechanisms. The associated methods and systems provide efficient gathering of response data pertaining to conscious and pre-conscious thoughts, including impulses, feelings, perceptions, sentiments, associations, and emotions. The associated methods and systems gather and aggregate the response data into databases and create derived metrics, interpretive frameworks, and predictive frameworks from this data.

Abstract: A method for identifying an optimal ticket for purchase and using the optimal ticket to open a venue for a gate of a venue.

Abstract: A machine learning model supported trend detection engine can be available via an application programming interface to business or community planners to evaluate the potential for new plans or ventures. The model can be based upon transaction trends and available merchant data from transactions such as location, time, merchant type, and transactions history longevity from particular retailers. The model can generate a dashboard that shows past performance, predicted future performance, trends, similarity between businesses, and profitability. The new plan or venture can be correlated with other retailers that have been established and successful under a similar model and located near another retailer similar to the new plan or venture.

Abstract: A user experience management system obtains survey results providing insight on the user's experience with provided products and services. Periodically, the user experience management system uses these results in conjunction with the help desk data and the user experience management system monitoring data to identify the set of problems with specific products and services on a granular level. The product management system generates a resolution to address a problem definition generated by the user experience management system. The user experience management system monitors the resolution and updates the database with data pertaining to the resolution. Other embodiments are disclosed herein.

Abstract: Techniques are provided for analyzing user actions that have occurred over a time period. The user actions can be, for example, with respect to the user's navigation of content or interaction with an application. Such user data is provided in an action string, which is converted into a highly searchable format. As such, the presence and frequency of particular user actions and patterns of user actions within an action string of a particular user, as well as among multiple action strings of multiple users, are determinable. Subsequences of one or more action strings are identified and both the number of action strings that include a particular subsequence and the frequency that a particular subsequence is present in a given action string are determinable. The conversion involves breaking that string into a sorted list of locations for the actions within that string. Queries can be readily applied against the sorted list.

Abstract: Systems, methods, and other embodiments for sorting-based assignment to optimize order fulfillment with short supply. One embodiment includes identifying a set of one or more distributions within a series of days. Sorting all demands of a first priority level occurring in the series of days by ascending order of size of the demand. For each demand of the first priority level in sorted order, (a) selecting an initial distribution during which the demand is scheduled to be fulfilled from the set of distributions, and (b) generating an indication that the demand can cannot be completely fulfilled, based on the size of the demand and the amount of supply available. Automatically arranging a graphical representation of a schedule of supplies and met and unmet demands for the series of days in a graphical user interface based at least on the indications generated for each demand.

Abstract: In one embodiment, a method includes generating a first visual representation of a location of a railroad station in relation to a railroad track, receiving a request for a first maintenance window, and determining that the first maintenance window is associated with the railroad station. The method further includes determining a first time period and generating a second visual representation of information associated with the railroad station during the first time period. The information includes an indication of a time that a train is scheduled to cross the railroad station during the time period. The information also includes an indication of a time duration for a second maintenance window that has been requested during the time period.

Abstract: A computer-implemented method for dynamically pricing available storage units based on desirability is described. A server computer accesses a data storage storing a storage unit inventory for a particular facility. Each storage unit in the storage unit inventory is pre-assigned to a pricing group and provided a desirability rank. In response to a trigger for generating an updated sales plan for the particular facility (or for all facilities in a company), the server computer obtains an available storage unit inventory by deducting the unavailable storage units from the storage unit inventory and orders the available storage units within each pricing group by each unit's desirability rank. The server computer then assigns each of the available storage units to one of a plurality of pricing tiers within the pricing group according to the desirability rank order and generates an updated sales plan containing the available storage unit inventory grouped by the pricing group and by the pricing tiers.

Abstract: As described herein, a system, method, and computer program are provided for using shared customer data and artificial intelligence to predict customer classifications. A first system of a first business entity receives an artificial intelligence model generated using output of a secure multi-party computation applied to: a first schema of first customer data stored by the first system, and a second schema of second customer data stored by a second system of a second business entity. Additionally, the first system executes the artificial intelligence model on the first customer data stored by the first system to generate a predictor, the predictor configured to receive input and process the input to predict a classification for the input. Further, the first system distributes the predictor for use by the second system of the second business entity to predict at least one classification for the second customer data.

Abstract: Methods and apparatus relating to the generation, management and use of taxonomies are described. Over time statistics are collected based on the user interaction and the effectiveness of the taxonomy determined with respect to one or more groups of users. Decisions are automatically made when a new e.g., custom, taxonomy is to be generated for a set of users. Over time multiple custom taxonomies are generated for different user groups with each group of users being provided access to items through the taxonomy which provides the best results for the group. Generated taxonomies are compared and merged or combined when similar to avoid the generation and maintenance of a large number of similar taxonomies.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that enable clients to create custom conditional segments on which other clients can claim a spot. In one aspect, a front-end server receives, over a data communication network and from an electronic device of a creator, one or more data packets that specify attributes of a segment created by the creator through a graphical interface presented at the electronic device. A back-end server detects, based on data received from the device, interaction with an interface control that designates the segment as a conditional segment and, in response obtains, from the device, an expiration time specifying how long the conditional segment is available to others. After obtaining the expiration time, clients are notified that the conditional segment is available and enabled to claim a spot on the conditional segment through a client-side application.

Abstract: A ride-sharing system can automatically and autonomously determine whether a rider is an account holder associated with an account of a ride-sharing service that requested a ride or a guest rider. A guest rider detection system can use geolocation data to determine whether a rider is a guest rider or an account holder. The system can obtain location data for an account holder that requests a ride using a ride sharing application. The location data of the account holder can be compared with one or more locations (e.g., pickup or drop off location) associated with the requested ride. Based at least in part on the comparisons between the location data of the account holder and the one or more locations associated with the requested ride, the system can determine with a particular degree of certainty whether the rider is the guest rider or the account holder.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that enable operators to initiate segments. In one aspect, a method includes providing, to an electronic device of a third party operator, an interface that enables the operator to provide features of a segment that the operator is willing to operate for a segment provider that provides segments for clients. Data specifying the features of the segment is received from the electronic device. A determination that the features of the segment include a departure code, a destination code, a departure date, and a jet for the segment is made. A distribution output is calculated based at least on the features of the segment. An interface is updated to present the distribution output to the third party operator. The segment is created in response to detecting interaction with the interface control that confirms the segment.

Abstract: Systems, methods, and other embodiments associated with a shortest path engine for warehouse management are described. In one embodiment, a method determines a shortest path between a first location and a second location. The method includes receiving a request for a shortest path between a first location and a second location and accessing a first data structure. The first data structure maps the first location to a first reference point and the second location to a second reference point. A shortest path between the first reference point and the second reference point is determined and the determined shortest path is returned.

Abstract: A method for identifying an optimal ticket for purchase and using the optimal ticket to open a venue for a gate of a venue.

Abstract: Systems, methods, and other embodiments associated with minimizing (unfulfilled orders) due to short supply in an order fulfillment context are described. One embodiment includes: Identifying one or more Distributions within a timeframe. For each of the Distributions, identifying a set of maximal excess configurations of met and unmet demands from a set of all demands for the product during the Distribution. Creating a current output set of configurations. Assigning supply units for at least one configuration of a final output set for a final Distribution within the timeframe. Transmitting an instruction to fulfill demands in accordance with the assignments.