Yahoo! Inc.

American Express Travel Related Services Company, Inc.

Yahoo Holdings, Inc.

Anupam Seth

Allie K Watfa

Dale Arthur Nussel

Jonathan David Kilroy

Sachin Jadhav

Rahul Shaurya

Christine A Knorr

Jason Meltzer

Dorothy Mills

Satishkumar Balasubramanian

Amar Petla

Mary Catherine Callahan

Silajit Singh

Mohnish Gorantla

Urvashi Tyagi

A system for automated supplier invoice reconciliation is disclosed. The system may receive an order confirmation associated with a purchase order (PO) from a supplier system. The system may receive the PO associated with the order confirmation from a buyer system. The system may receive a first invoice associated with the PO and the order confirmation from the supplier system. The system may reconcile between the PO, the first invoice, and the order confirmation to generate a second invoice. The system may pass the second invoice to the buyer system.

Supplier invoice reconciliation and payment using event driven platform

A system for targeting advertising can include a communications interface and a processor. The communications interface can receive data associated with times of use of applications. The processor can be communicatively coupled to the communications interface and can categorize the applications by genres. The categorization is within a time of use group and is based on at least part of the retrieved data. The processor can also determine priority values associated with the genres based on levels of use of the applications during a period of time associated with the time of use group. The processor can also identify a current time and determine an advertisement according to at least one genre of the genres. The at least one genre can be associated with a highest priority value of the determined priority values. The period associated with the time of use group can correspond to the identified current time.

System and method for targeting advertising to a device based on installed applications

Targeting advertisements to a specific user includes steps or acts of: identifying an area of interest that includes a plurality of users using the Internet; logging each Internet request from the plurality of users; aggregating data regarding each Internet request to reveal use patterns; and disaggregating the data according to the use patterns to match the Internet use pattern with the specific user, thus identifying the specific user with each Internet request.

Disaggregation to isolate users for ad targeting

Targeting advertisements to a user on multiple devices includes: selecting an access point; maintaining an internet access log to track web activity across multiple devices within said access point; identifying the multiple devices involved in the web activity; distinguishing patterns of web activity for the multiple devices to identify users of the devices; generating a user interest vector populated with user interests derived from the patterns of web activity; initializing a master log of user interest vectors for all users within the access point, wherein the master log maps the users with the multiple devices; and updating the master log.

Aggregating data from multiple devices belonging to one user for directed ad targeting

Methods and systems for recommending social networking connections are disclosed. Information is received from a mobile device relating to software applications that are installed on a first user's mobile device. A weight for each software application is calculated based on usage information and each software application is designated to at least one category. A priority is calculated for each category based at least in part on respective weights of software applications designated to the category. A second user, who is not connected to the first user, is detected, wherein the second user has a predetermined number of categories that are the same as the first user's categories, and wherein priorities corresponding to the second user's categories are within a predetermined range of priorities corresponding to the first user's categories. A recommendation to connect with the second user is provided to the first user.

Methods and systems for recommending social network connections

The present invention provides techniques relating to collaboratively authored stories and electronic books, and the writing thereof. Techniques are provided in which a template relating to a story, and a set of rules governing collaborative writing of the story by multiple user authors, are obtained. Writing contributions, for integration into the story, may be obtained from each of the user authors. A completed story is obtained, in which forming the completed story includes integrating the writing contributions. Access to the story, such as in the form of an electronic book, is provided to users, such as for a fee.

Collaborative electronic books

A system and method for targeting advertising to devices based on the applications installed on the device are provided. The system and method comprise retrieving data pertaining to the applications a user has installed on a device and assigning the applications weights based on their patterns of usage. The applications are categorized according to their genre and/or the time of day during which they are typically used, and each category is assigned a priority value based on the patterns of usage of the applications therein. An advertisement corresponding to the highest priority category is delivered to the device.

Growing community of inventors

Urbana, IL, United States of America

Anupam Seth