Versata Development Group, Inc.

Retailmenot, Inc.

Trilogy Development Group, Inc.

Phunware, Inc.

Versata Computer Industry Solutions, Inc.

David John Reese

Cheryl W Scott

Gunter Leeb

Lipphei Adam

Annette M Taberner-Miller

James Damon Trim

Sankalp Acharya

John Newman Faith

Eithan Zilkha

Nicholas James Shiffert

Jagjit Singh Bath

Matthew Alan Howitt

Luan Dang

John W Kamm

Anthony C Hall

Alan S Knitowski

Rachel Renee Bell

Cyrus Lum

Jacob Levirne

Cameron Kent Savage

Timothy Dowling

Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.

Scalable complex event processing with probabilistic machine learning models to predict subsequent geolocations

Devices, computer-implemented methods, and computer-readable media for the redemption of merchant offers, such as online coupons, are provided. In some embodiments, online coupons may be provided in a native application of a mobile user device. When a user selects to use an online coupon, a coupon code box having a coupon code associated with the selected coupon may visually move from a first location to a second location of the native application, and a merchant website may be displayed in the native application. Additionally, in some embodiments, a user may drag-and-drop a coupon code box to an input field of a merchant webpage. Movement of a visual copy of the coupon code box may be animated along the drag path. Upon a drop of the coupon code box, a value of the coupon code may be entered into the input field.

Devices, methods and computer-readable media for redemption of merchant offers

A system and method for efficiently responding to electronic requests for quote ('RFQ'). Through use, a user, such as a merchant, can automatically create and deliver an electronic RFQ response, without need for any interaction by the merchant. The merchant may establish certain criteria in order to allow the system and method to automatically respond to electronic RFQ's received by the merchant.

Method and apparatus for efficiently responding to electronic requests for quote

Provided is a process of selectively providing content to computing devices based on geographic proximity to dynamically detected events drawing crowds, the process including: obtaining, with one or more computers, data indicative of current geolocations of more than 5,000 mobile computing devices based on information reported by an application executing on the mobile computing devices; inferring, with one or more computers, that an event with a crowd is occurring based on the data indicative of the geolocations indicating an amount of people and a proximity of the people; selecting, with one or more computers, content in response to the inference; and sending, with one or more computers, the selected content to one or more user computing devices for presentation based on proximity between the one or more user computing devices and a geographic location of the event with the crowd.

Geotargeting of content by dynamically detecting geographically dense collections of mobile computing devices

Methods and systems for interactive user interface objects are provided. The user interface allows for users to manipulate different objects represented by icons within a user interface, such as that of an iPhone or iPad or other touch screen devices. Users may bump objects together, flick one object towards another, bump an object against the edge of a screen, flick an object towards a certain area such as a dock, or otherwise manipulate the objects. The user's actions or manipulations of objects may result in an action by the objects or may have no effect. Depending on the compatibility of objects, the objects may be neutral towards one another, may attract each other, or may repel. The objects that attract may share content or communicate with each other via a one-time interaction, or may establish links or connections with each other that enable longer term communication or broadcasts that occur upon pre-determined triggers.

Methods and systems for interactive user interface objects

Embodiments of the components and processes for recording selected Web site data described herein adhere to long-term stability guidelines so as to improve maintainability and viability over time. Additionally, the data recording components can be placed within a software architecture to minimize the number of redundant data recording components. Furthermore, the data recording components can be tailored to specific data recording purposes. Additionally, the data recording components can be designed to take into account system performance issues and minimally impact system performance. Furthermore, the data recording components can be tailored to gather specific data useful for various analytical processes. Additionally, embodiments of the data recording components are relatively easy to implement and able to handle idiosyncrasies and changes of various Web sites in which they are placed.

A method and apparatus filters and/or sorts responses to electronic requests for quotes for a product or products offered for sale. The method includes comparing first data of each of a plurality electronic quotes to first data of an electronic request for quote. Each of the plurality of electronic quotes is classified as either a matching quote or a non-matching quote in response to the computer system comparing first data of the plurality electronic quotes and the electronic request for quote. Each matching quote is identified as having first data that equals the first data of the electronic request for quote. Each non-matching quote is defined as having first data that does not equal the first data of the electronic request for quote.

Method and apparatus for filtering and/or sorting responses to electronic requests for quote

A commerce router is disclosed. Such a commerce router includes a plurality of commercial transaction databases and an application server module. Each of the databases can contain commercial transaction information related to one of a number of offering types (e.g., categories of products, services and/or the like). Application server module is communicatively coupled to the each one of the databases. The application server module can be configured to receive a request by virtue of being configured to communicate information regarding the request to the database for inclusion in the commercial transaction information. The application server module can also be configured to allow review of the request by virtue of being configured to communicate information regarding the request from the database by accessing the commercial transaction information. Similarly, the application server module can be configured to receive a response by virtue of being configured to communicate information regarding the response to the database for inclusion in the commercial transaction information. The application server module can also be configured to allow review of the response by virtue of being configured to communicate information regarding the response from the database by accessing the commercial transaction information.

Commerce server architecture and method for using same

Method and apparatus for efficiently generating electronic requests for quote

A method and apparatus for filtering and/or sorting responses to electronic requests for quotes for a product or products offered for sale includes comparing first data of each of a plurality electronic quotes to first data of an electronic request for quote. Each of the plurality of electronic quotes is classified as either a matching quote or a non-matching quote. After the quotes are classified, each classified quote is ranked, for example, by the total price of the product or products offered for sale. Classification into distinct categories is used to apply techniques to make quotes comparable. Inexact matches can be adjusted to allow comparison between exact matching quotes and the adjusted inexact matching quotes.

Growing community of inventors

Austin, TX, United States of America

David John Reese