Google Inc.

Seth J Golub

Jing Yee Lim

Paul Thomas Buchheit

Bay-Wei W Chang

Sanjeev Singh

Russell R Tuck, Iii

Daniel Wesley Dulitz

Lauren M Baptist

Matthew D Cutts

Russel R Tuck, Iii

Systems and methods for storing a plurality of conversations are provided. Each such conversation has a corresponding conversation identifier and one or more messages sharing a common set of characteristics that meet predefined criteria. Information is sent to a remote computer identifying the conversations and providing sufficient information to rank them in accordance with a date/time value of a most recently received message of each conversation thereby causing a first conversation to be ordered before a second conversation. Subsequently, a first message that is deemed to belong to the second conversation is obtained and added to the second conversation. Information is resent to a remote computer identifying the plurality of conversations and providing sufficient information to rank the plurality of conversations in accordance with a date/time value of a most recently received message of each respective conversation thereby causing the first conversation to be ordered after the second conversation.

Systems and methods for re-ranking displayed conversations

Systems and methods are provided that, in response to obtaining an email to a recipient from a sender, and in accordance with a determination that an indirect relationship exists between the sender and the recipient, determine a spam probability of the email by evaluating statistical information regarding the historical electronic interactions associated with the sender. In this way, the email is classified according to the identified spam probability.

System for reclassification of electronic messages in a spam filtering system

System and method for storing a plurality of conversations are provided. Each such conversation has a corresponding conversation identifier and one or more messages sharing a common set of characteristics that meet predefined criteria. Information is sent to a remote computer identifying the conversations and providing sufficient information to rank them in accordance with a date/time value of a most recently received message of each conversation thereby causing a first conversation to be ordered before a second conversation. Subsequently, a first message that is deemed to belong to the second conversation is obtained and added to the second conversation. Information is resent to a remote computer identifying the plurality of conversations and providing sufficient information to rank the plurality of conversations in accordance with a date/time value of a most recently received message of each respective conversation thereby causing the first conversation to be ordered after the second conversation.

A spam detector for determining likelihood of forgery of a source in an email addressed to a destination is provided, comprising extraction means for extracting delivery path information from one or more packets in the packet flow of the email, and comparison means for comparing the extracted delivery path information with trusted delivery path information from the source to the destination.

System for determining email spam by delivery path

A method and system for processing messages includes receiving a plurality of messages directed to a user. Each of the plurality of messages is associated with a respective conversation and list of conversations is displayed in an order determined in accordance with second predefined criteria, as a set of rows, where each row corresponds to one of the listed conversations and includes at least a sender list, a conversation topic and a date/time value. A user is enabled to identify one or more conversations in the list of conversations, to mark the identified conversations as belonging to a particular category, and to display another list of conversations comprising conversations marked as belonging to the particular category. A user may cause a conversation to be removed from certain displays, but to become visible again after the passage of a certain amount of time or the occurrence of an event.

Retrieving and snoozing categorized conversations in a conversation-based email system

A spam detector accesses a message body of an email, extracts one or more features of a return path from the message body, and uses the extracted features to detect the return path for a user to respond to the email. The return path may include a postal address, and the extracted feature may comprise one or more of a complete or partial street name, city name, state name, country name, street number address, postal code, designations for post office box, and post office box number.

Methods and apparatus for detecting spam messages in an email system

A spam filter for changing or validating original filter classifications of email messages filtered in an email system includes a means for accessing email message data and original filter result data; a means for accessing new evidence for use in classification; and a means for recalculating a classification using the new evidence.

Method for reclassifying a spam-filtered email message

A method for indicating probability of spam for email comprises tracking network traffic characteristics for the email, and comparing the tracked characteristics for the email to characteristics for email from trusted or known spam sources.

A method system for labeling messages of conversations, where each conversation has a respective conversation identifier and comprises one or more messages sharing a common set of characteristics. A selected conversation has a plurality of messages associated with a first label. In response to an action specifying a second label to be associated with the selected conversation, the second label is associated with the messages of the selected conversation, such that the plurality of messages are each associated with both the first and second labels. An index entry for the second label is modified to account for the association of the second label with the messages. In some embodiments, a set of predetermined conditions is associated with the conversation; the first label is removed from the plurality of messages and is prevented from being automatically associated with newly received messages of the conversation until the predetermined conditions are satisfied.

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Sunnyvale, CA, United States of America

Seth J Golub