Google Inc.

Yahoo! Inc.

Bo Pang

Shanmugasundaram Ravikumar

Andrew Stephen Tomkins

Shalini Agarwal

Mark Yinan Li

MyLinh Yang

Sujith Ravi

Evgeniy Gabrilovich

Nilesh Dalvi

Vanja Josifovski

Prabhakar Raghavan

Mohammad Mahdian

Sergei Vassilvitskii

Tristan Harris

Can Sar

Angelo DiNardi

Andrei Z Broder

Marcus Felipe Fontoura

Raghavan Manmatha

Sihem Amer-Yahia

Xuefu Wang

Cong Yu

Yejin Choi

Vinay Kakade

Hila Becker

Julia Stoyanovich

Mauricio Riguette Mediano

Mylinh Yang

Methods and apparatus related to identifying one or more messages sent by a user, identifying two or more contacts that are associated with one or more of the messages, determining a strength of relationship score between identified contacts, and utilizing the strength of relationship scores to provide additional information related to the contacts. A strength of relationship score between a contact and one or more other contacts may be determined based on one or more properties of one or more of the messages. In some implementations, contacts groups may be determined based on the strength of relationship scores. In some implementations, contacts groups may be utilized to disambiguate references to contacts in messages. In some implementations, contacts group may be utilized to provide suggestions to the user of additional contacts of a contacts group that includes the indicated recipient contact of a message.

Determining strength of association between user contacts

Methods and apparatus related to determining an effect on dissemination of information related to an event based on a dynamic confidence level associated with the event. For example, an event and an event confidence level of the event may be determined based on a message of a user. An effect on dissemination of information related to the event may be determined based on the confidence level. A new confidence level may be determined based on additional data associated with the event and the effect on dissemination of information may be adjusted based on the new confidence level. In some implementations, the additional data may be based on a new message that is related to the message, such as a reply to the message.

Determining an effect on dissemination of information related to an event based on a dynamic confidence level associated with the event

Methods and apparatus related to providing additional information related to a vague term in a message. For example, in some implementations, one or more messages sent by a sender and received by one or more recipients may be identified, a vague term in the message may be identified, a user-restricted database may be identified that is associated with the sender or a recipient, and additional information related to the vague term may be determined from the user-restricted database. A vague term is a term which may have multiple meanings and that can be clarified with additional information. In some implementations, user-restricted databases may include additional information that is associated with the user that may be utilized to replace the vague term with a clarified term. In some implementations, a user-restricted database may be utilized to identify additional information in another database that may be utilized to clarify the vague term.

Providing additional information related to a vague term in a message

Methods and apparatus related to determining an association between a message trail and a task entry of a user and associating an n-gram with the task entry, wherein the n-gram is based on one or more messages of the message trail. A similarity score between the n-gram and one or more aspects of the associated task entry may be determined. The similarity score may be utilized, for example, to determine when to associate the n-gram with the task entry and/or how to utilize the associated n-gram with the task entry.

Associating one or more terms in a message trail with a task entry

Methods and apparatus related to associating an event attribute with a user based on a group of electronic messages associated with the user. An event may be associated with the group of electronic messages. One or more event attributes of the event may be determined, including an event location identifier that identifies a physical event location. One or more of the event attributes may be determined based on the group of electronic messages. Location data of the user may be identified and a likelihood that the user interacted with the physical event location may be determined based on comparing the location data of the user to the event location identifier. The likelihood that the user interacted with the physical event location and at least one of the event attributes determined based on the group of electronic messages may be associated with the user.

Associating an event attribute with a user based on a group of one or more electronic messages associated with the user

Methods and apparatus related to associating a quality measure with a given location. For example, an anticipated distance value for a given location may be identified that is indicative of anticipated time and/or distance to reach the given location. At least one actual distance may be identified that is indicative of actual time for the one or more members to reach the given location. In some implementations, the anticipated/actual distance values may include one or more distributions. A quality measure is then determined based on a comparison of the anticipated distance value and the identified actual distance value. The quality measure is associated with the given location. The quality measure may be further based on additional factors.

Determining the quality of locations based on travel time investment

Methods and apparatus related to identifying an event task of a user, identifying one or more other attendees of the event, determining user arrival information for the user, and determining a notification to provide to at least one of the other attendees based on the user arrival information. The event task includes a starting time for an event and an event location, and the user arrival information is based on location information of the user and information associated with the event task. In some implementations, the user and/or the at least one of the other attendees may provide authorization for a notification to determined and/or sent. The notification may include information regarding the likelihood of the user arriving at the event before and/or after the starting time of the event.

Facilitating communication between event attendees based on event starting time

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Bo Pang