Google Inc.

Jonathan McPhie

Dan Fredinburg

Hartwig Adam

Jessica Nicola Staddon

Pavani Naishadh Diwanji

Alexei Masterov

Matthew Stephen Steiner

David Cohen

Sean Liu

Yair Kurzion

Alex M Cook, Iii

Andrew Swerdlow

Michael W Brandt

Travis Harrison Kroll Green

Umesh Shankar

Tomer Amarilio

Tilke Mary Judd

Brandon Kyle Trew

Mor Miller

Kyle Garner Harrison

Hristo Stefanov Stefanov

Sara Lee Su

Finnegan Southey

Peter Klein

Gregory Dardyk

Christoph Urs Oehler

Mark Russell Thomas

Si-Wai Yan Lai

Etienne DeGuine

Marlo James McGriff, Ii

Giora Unger

Joseph Adam Taylor

Alison Michelle Huml

Bao Lam

Geva Rechav

Lauren A Schmidt

Max Michiel Loubser

Jose Javier Zuniga, Jr

Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

Face template balancing

Rule-based content filter is described, including receiving from a user an indication of an attempted posting of content to a target, wherein the attempted posting of the content by the user comprises at least one item provided by the user for display on a website to the target; selecting a rule associated with the user, wherein the rule is selected based on at least one of the content of the attempted posting and an identity of the target; applying the rule to the attempted posting to determine whether a condition applies, the condition relating to whether the attempted posting complies with the rule; when the condition applies, posting to the target; and when the condition does not apply, providing an indication to the user that the attempted post does not comply with the rule.

Rule-based content filter

A system and method for predicting one or more sharing settings for a social network user is provided. The relevant user data is received and analyzed. Based on the analysis of the relevant user data, one or more of the user's desired sharing settings is predicted. In some embodiments, statistical analysis is used to analyze and/or predict the user's desired sharing settings. One or more predictions including a suggested sharing setting are generated. In one embodiment, the user's sharing settings are automatically adjusted based on the one or more predictions. In one embodiment, the one or more predictions are sent for display to the user. In one embodiment, feedback is obtained from the user accepting or rejecting the predictions. In one embodiment, the feedback is used to adjust one or more of the algorithms for analyzing the user data, predicting the user's desired sharing settings, or both.

Various ways to automatically select sharing settings

A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

Identity crowd-sourced curation

A system and method for generating a notification of privacy settings difference is disclosed. A request is received. A first set of privacy settings is received from a first social network, and a second set of privacy settings is received from at least one other social network. The first set of is compared to the second set. A difference between the first set and the second is detected, and a notification is generated. The notification includes an indication that a difference was detected. The notification is sent for display to the user. In one embodiment, the notification allows the user to request to view, or edit, the first set of privacy settings. In one embodiment, the notification sends the user to a webpage on the first social network where the first set is typically displayed and/or edited. In another embodiment, the notification displays the first set and/or receives the edits.

System and method for privacy setting differentiation detection

Systems and methods for attribute-based user data visualizations are described, including determining that an event is associated with a category, the event is one of a plurality of events that are associated with a user using one or more products; clustering the event with a group of events that are associated with the category; identifying at least a portion of the group of events and at least a portion of another group of events of another category, based on one or more time periods; and providing the at least the portion of the group of events and the at least the portion of the another group of events of the another category for visual presentation.

Systems and methods for attribute-based user data visualizations

A system and method for adjusting privacy protection for a user in a plurality of applications is disclosed. A privacy protection request is sent to a user device. In one embodiment, the request is displayed on user device in the form of a pop-up window. In another embodiment, the request is displayed in a privacy settings area. The privacy protection request includes a plurality of protection levels. Once a protection level is selected the protection level is sent back and received by the system. Privacy settings are adjusted according to the selected privacy protection level based on information stored in a master template. In some embodiments, the privacy protection level is translated to associated privacy settings. Once the privacy settings have been adjusted, the privacy settings are applied to a plurality of online applications associated with the user based on the privacy protection level selected.

System and method for applying privacy settings to a plurality of applications

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing intent sensitive search results. In one aspect, a method includes receiving a current query for a current search session that is associated with a user identifier. One or more potential refinements for the current query are identified, each potential refinement being one or more terms and based on previous queries associated with the user identifier and previous queries associated with other user identifiers. One or more secondary queries are generated, each secondary query including the current query and one of the potential refinements, each secondary query matching a query-refinement pair in a trigger map that includes a plurality of query-refinement pairs. Secondary search results are identified for the secondary queries. Search results are provided including at least one of the secondary search results.

Providing intent sensitive search results

Growing community of inventors

Mountain View, CA, United States of America

Jonathan McPhie