Google Inc.

Bea Systems, Inc.

Tom Carl Stamm

Tushar Udeshi

Dale Kris Hawkins

Emil Constantin Praun

Gokay Baris Gultekin

James Anthony Guggemos

Guang Yu Yang

Andrew Robert Kirmse

Pablo Bellver

Keir Banks Mierle

Bill Connor

Daryl B Olander

Thomas A Cook

Robert Bergman

Greg Smith

Guang Yang

James A Guggemos

A computing system is described that obtains, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time and event information associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and, based at least in part on the duration of time, obtains a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time based on the event. The computing system outputs, for transmission to the computing device, an indication associated with the event and including information indicative of the departure time.

Presenting information for a current location or time

A computing system is described that can automatically provide weather forecast information to a user based on the user's expected future location. In some embodiments, the methods can include predicting a future location of a user and storing the future location in the memory, fetching weather forecast information associated with the future location of the user, and outputting, to a mobile device associated with the user, the weather forecast information associated with the future location of the user.

Weather forecasts based on expected location

A computing system is described that can provide a user with alerts based on traffic information related to the user's expected travel route. In some embodiments, a user can be alerted if a traffic delay exists on the user's expected travel route. In other embodiments, a user can be alerted when their usual bus or train is delayed. In further embodiments, a user can be alerted when traffic on an expected route to the user's next event location might impact the user's ability to arrive at that location on time.

Contextual traffic or transit alerts

Example techniques and systems include generating cluster information to consolidate multiple locations. In one example, a method includes receiving, at a computing device, a plurality of location identifiers corresponding to a plurality of locations at which a mobile computing device was previously located, defining, by the computing device, a plurality of geographic regions based at least in part on the plurality of location identifiers, wherein each of the plurality of geographic regions defines a physical area in which at least one of the plurality of locations is located, selecting, by the computing device, a subset of the plurality of geographic regions based on respective distances between a current location of the mobile computing device and a respective reference point within each of the geographic regions, and outputting, by the computing device and for display, an indication of the subset of the plurality of geographic regions.

Adaptive clustering of locations

The systems and techniques disclosed herein provide the ability to determine locations visited by a user and associate relevant location labels with the locations visited based on contact information. In some examples, a location label can be applied based on a match between a location visited and information stored in a user's contact list. In other examples, a user can efficiently designate a contact and location label to be associated with a location visited. In still other examples, if a location visited by a user is not listed in the user's contact list, but is otherwise known to the system, the location visited can be appropriately labeled and the corresponding contact in the user's contact list can be updated to include the location visited.

Labeling visited locations based on contact information

A personalization system that uses rules to adjudicate and characterize a customer, or a customer's actions, and then to personalize a business function, such as a displayed page, based on the outcome of those rules. In one embodiment the invention provides a system for web-based personalization, that allows for personalizing the content or business functioning of a web-based application to reflect the characteristics of a particular user. The system comprises a user profiler, for determining a snapshot of a particular user of a web-based application, a rules editor for inputting a set of rules governing the business functioning of said web-based application, and a rules engine. The system then uses the set of rules to make decisions about the particular user and the business functioning of said web-based application, and to determine the content or business functioning of said web-based application as it applies to that user.

System and method for web-based personalization and ecommerce management

Growing community of inventors

Louisville, CO, United States of America

Tom Carl Stamm