Google Inc.

Michael Schaer

Matthias Heiler

Ágoston Weisz

Vitaly Gatsko

Behshad Behzadi

Ori Gershony

Thomas Hofmann

Fredrik Bergenlid

Hartmut Maennel

Alexandru Tudor

Wojciech Gajewski

Tomislav Grbin

Justyna Sidorska

Thomas Fischbacher

Dmitry Korolev

Robin Nittka

Nikola Todorovic

Laura Dragoi

Dmity Korolev

Techniques enable an automatic adjustment of a muted response setting of an automated assistant based on a determination of an expectation by a user to hear an audible response to their query, despite the muted setting. Determination of the expectation may be based on historical, empirical data uploaded from multiple users over time for a given response scenario. For example, the system may determine from the historical data that a certain type of query has been associated with a user both repeating their query and increasing a response volume setting within a given timeframe. Metrics may be generated, stored, and invoked in response to attributes associated with identifiable types of queries and query scenarios. Automated response characteristics meant to reduce inefficiencies may be associated with certain queries that can otherwise collectively burden network bandwidth and processing resources.

Automatic adjustment of muted response setting

Providing at least one contextually relevant suggestion to one or more users of an ongoing message exchange thread between the users. The suggestion is provided for presentation to the user(s) via user interface output device(s) of computing device(s) of the user(s). The suggestion indicates a query that can be submitted to an automated assistant to cause the automated assistant to incorporate, into the message exchange thread, content that is responsive to the query. In some implementations, the suggestion is a selectable suggestion and content that is responsive to the query is incorporated into the message exchange thread in response to user interface input that is directed to the selectable suggestion. In some implementations, the suggestion is determined based on one or more messages that have already been communicated between users of the message exchange thread.

Providing suggestions for interaction with an automated assistant in a multi-user message exchange thread

A system and method for providing a search experience in which users are protected from exposure to inappropriate offensive or sensitive content is described. A search system may classify a search query and candidate search results obtained in response to the search query. Based on the classification of the search query and search results, the candidate search results may be modified to generate a set of search results presented to a user such that the presented search results do not include inappropriate sensitive or offensive content.

Protecting users from inappropriate sensitive or offensive search results

Methods, systems, and apparatus, including computer program products, for constructing text classifiers. The method includes receiving a collection of candidate phrases for a given topic; filtering the received candidate phrases to remove erroneously included candidate phrases; assigning weights to the candidate phrases including scoring each candidate phrase using an initial classifier and assigning weights to the candidate phrases based on the scores; and generating a linear classifier using the filtered and weighted candidate phrases, where the linear classifier varies the weights for each phrase candidate depending on the length of the document being classified.

Construction of text classifiers

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Flaach, Switzerland

Michael Schaer