Google Inc.

Mathew Cowan

Christopher Pedregal

Michael J Lebeau

Alastair Tse

Gabor Cselle

John Nicholas Jitkoff

A system may receive an entity identifier for a user. The entity identifier may identify an entity that is associated with a category. The system may identify channel(s) for the category by obtaining data for the user, and analyzing the data to determine a score for each channel. The system may use the scores to select one or more of the channels. The system may provide content related to the selected channel(s) to a client device of the user, and the user may interact with the content via the client device.

Providing content related to a selected channel for presentation to a user via a client device

A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.

Method, medium, and system for fraud prevention based on user activity data

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data that represents actions taken by a particular user with respect to entities of a plurality of entity types, disambiguating the data by identifying entities specified in the data using a machine learning based annotator that is trained to recognize entities and annotating the data, receiving a query specific from the particular user, querying the data that represents actions taken by the particular user, generating an answer to the query from the data representing the actions taken by the particular user, and providing the answer to the query.

Machine-learned disambiguation of user action data

A system is configured to obtain data for a user. The data may describe actions that the user has performed in an application and identify points in time associated with the actions. A point in time may include a point in time at which one of the actions was performed. The system is configured to analyze the data to determine, for each action, a score for each point in time. The score, for a particular point in time, may be determined based on one or more points in time at which the action was performed, and may be determined from a number of times that the action was performed at the particular point in time. The system is configured to provide the user with a functionality to perform a particular action based on the scores determined for the particular action for the set of points in time.

Providing application functionality

Method, medium, and system for online fraud prevention

Method, medium, and system for online fraud prevention based on user physical location data

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining information to provide to users. One of the methods includes receiving a plurality of entities for a first user, wherein each of the plurality of entities is associated with a first score, wherein the first score associated with a particular entity represents a level of confidence that the first user is interested in the particular entity; and for one or more first entities of the plurality of entities: determining a second score based on the first score for the entity, wherein the second score indicates a level of confidence that the first user should receive notifications associated with the entity; determining that the second score satisfies a threshold; obtaining information associated with the entity; and providing the information to be presented in the form of a notification to the first user.

Obtaining information to provide to users

User commentary concerning a user experience is received and a user experience data card is generated for the user experience based, at least in part, upon the user commentary. The user experience data card is stored, wherein the stored user experience data card corresponds to a first view of the user experience data card and receiving a request for an experience data card from a second user. The user experience data card is provided to the second user at least in part based on the request received from the second user and receiving feedback from the second user concerning the user experience data card. A second view of the user experience data card is generated based, at least in part, upon the feedback from the second user, wherein the second view of the user experience data card is distinct form the first view of the experience data card.

Experience sharing system and method

A method, computer program product, and computing system for receiving, on the one or more computing devices, a location indication from a user concerning a chosen location for potential experiences. A time indication is received, on the one or more computing devices, from the user concerning a time frame for the potential experiences. An experiences database is queried to identify two or more experiences that may be sequentially performed within the defined time period at the chosen location. An itinerary is generated, on the one or more computing devices, for the user based, at least in part, upon the two or more experiences.

A method, computer program product, and computing system for the sharing of experiences is provided. The method may include receiving an indication of an experience search to be performed on the experience database, wherein the experience search defines one or more search criteria and is associated with one or more extrinsic conditions. The method may also include searching the experience database based, at least in part, upon one or more search criteria to generate a result set including a plurality of experience data cards. The method may further include sequencing, the plurality of experience data cards based at least in part upon the extrinsic conditions. The method may also include generating a sequence result set based at least in part on the sequenced experience data cards and presenting at least a portion of the sequence result set to a user.

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New York, NY, United States of America

Mathew Cowan