Google Inc.

Ivo Krka

Balint Miklos

Luis Garcia Pueyo

Tobias Kaufmann

Marc-Allen Cartright

Julia Proskurnia

Andrew M Dai

Peter Junteng Liu

Itamar Gilad

Karol Piotr Kurach

Liam MacDermed

Alexandru Damian

Methods, apparatus, systems, and computer-readable media are provided for generating and applying outgoing communication templates. In various implementations a corpus of outgoing communications sent by a user may be grouped into a plurality of clusters based on one or more attributes of a context of the user. One or more segments of each outgoing communication of a particular cluster may be classified as fixed in response to a determination that a count of occurrences of the one or more segments across the particular cluster satisfies a criterion. One or more remaining segments of each communication of the particular cluster may or may not be classified as transient. Based on sequences of classified segments associated with each communication of the particular cluster, an outgoing communication template may be generated to automatically populate at least a portion of a draft outgoing communication being prepared by the user.

Generating and applying outgoing communication templates

Systems and methods are provided for organizing messages. A plurality of messages is communicated to a user with a designation of the message category of each respective message in the plurality of messages. The plurality of messages includes, for each respective message category in a plurality of message categories, at least one message in the respective message category. A user selection of a first message in the plurality of messages is received, whereupon a subset of the plurality of messages similar to the first message is selected based upon respective comparisons of continuous vector representations of (i) a set of words in the first message and (ii) a corresponding set of words in messages in the subset of messages. An identification of each respective message in the subset of messages is then displayed.

Systems and methods for estimating message similarity

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Zurich, Switzerland

Ivo Krka