Yahoo! Inc.

Meher Tendjoukian

Marco Boerries

Edward Stanley Ott, Iv

Keith D Saft

Paul Yiu

Venkatachary Srinivasan

Marc Eliot Davis

Christopher William Higgins

Torsten Schulz

Matthias Breuer

Lie Yang

Bhaskar A Parvathaneni

System and method for handling calendar events among a plurality of user devices in a communication network are disclosed. The system includes a device manager for interfacing with the plurality of user devices, where the plurality of user devices use different calendar applications and have calendar events in different data formats, and the plurality of user devices include at least a meeting organizer device and one or more attendee devices. The system further includes a calendar gateway for processing the calendar events to form a corresponding connected calendar-data-set for each connected user, where the connected calendar-data-set is stored in a calendar backend server and is shared among one or more devices of each connected user, and an email gateway for communicating the calendar events between the calendar gateway and the plurality of user devices.

Universal calendar event handling

A system and method for precaching information on a mobile device. A precaching strategy is built for a mobile device The strategy defines a forecast of data types a user is predicted to request after the occurrence of one or more data refresh conditions. The precaching strategy is built by recognizing data usage patterns in data requested by the user or a group of users over a time period. The data usage pattern comprises data types and events that are correlated to the usage of the data. The events are used to define at least one refresh condition within the precaching strategy. The precaching strategy is executed. When the occurrence of the data refresh condition is detected, data is then retrieved from a data source, wherein the data is retrieved according to the precaching strategy. The retrieved data is transmitted to a user device cache.

System and method for precaching information on a mobile device

Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Clustered search processing

Method and apparatus for updating user data from multiple data sources in a data gateway are disclosed. The data gateway includes a persistent job table for centrally storing jobs to be processed by the plurality of servers, a server table for centrally storing statuses of activities of the plurality of servers, and a job engine for processing job requests from the multiple data sources using the persistent job table and the server table. The data gateway includes a server farm having a plurality of servers, and where both the persistent job table and the server table reside outside the plurality of servers. The data gateway further includes a virtual Internet Protocol load balancer for dynamically mapping of jobs to be processed to particular servers according to user identifiers.

Data gateway for jobs management based on a persistent job table and a server table

Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster includes one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.

Growing community of inventors

Burlingame, CA, United States of America

Meher Tendjoukian