Yahoo! Inc.

Oath Inc.

Yahoo Assets LLC

Yahoo Holdings, Inc.

Excalibur Ip, LLC

Verizon Media Inc.

Sudharsan Vasudevan

Hemanth Sambrani

Rohan Monga

Supreeth Rao

Utkarsh Shrivastava

Suhas Sadanandan

Janarthanam Ramalingam

Herat Gandhi

Mahesh Inturi

Chinmayi Narasimhadevara

Sumit Ailawadi

Sudha Mahajan

Gopal Mor

Varun Bhagwan

Ethan Batraski

Patrick Mason

Kaushal Kurapati

Ankit Deepak Shah

Priyank Garg

Nangavaram Sundararajan Sekar

Eugene Kouichi Kashida

Seema Kamath

Swapnil Patel

Sanjeev Gupta

N S Sekar

Aravind Kalavagattu

A method and system for recommending content to a user whose interest(s) has not been identified is disclosed. A base user profile may be created for association with the user. The base user profile may be created by generating a list of ranked interests of a set of representative users. The list of ranked interests may be generated based on activity information obtained for the set of representative users. Content may be recommended to the user based on the base user profile.

Recommending contents using a base profile

Managing electronic addresses based on communication patterns. A method includes tracking metadata of a plurality of electronic communications of a user. One or more lists of electronic addresses of recipients are generated for the user based on the metadata. Electronic addresses of potential recipients are identified from the one or more lists in response to an input indicative of selection of an electronic address of a recipient. The identified electronic addresses are recommended to the user. An input indicative of one or more electronic addresses selected by the user from the identified electronic addresses is received. Further, an electronic message is sent to the selected electronic addresses.

Managing electronic addresses based on communication patterns

The present disclosure describes systems and methods for email management that leverages information derived from a sender's message activity with particular recipients in order to automatically format subsequent messages to those recipients according to the derived information. The present disclosure describes determining message templates associated with messages sent to repetitive recipients, and applying those determined templates upon composition of subsequent messages to the same recipients. Message templates comprise information associated with a message's settings, layout, message content, content type(s), a message type and the like. The determination of message templates and template information for application to messages being composed can be based on learned expressions and/or patterns from a sender's message activity or behavior. Additionally, the message templates can be utilized for monetization purposes in order to serve targeted advertisements when communicating with repetitive recipient users.

System and method for auto-formatting messages based on learned message templates

Disclosed is a system and method for email management. The disclosed systems and methods enable a user to follow messages and message conversations based on, but not limited to, a context of the received messages, content included in the messages, the sender of the messages, intended recipients of the message, and the like. Therefore, the present disclosure describes systems and methods for enabling a recipient user to follow messages, topics or other users from the recipient user's inbox. Accordingly, followed topics or messages from followed users can be grouped into message conversations within the recipient user's inbox. Whenever there is an update in a followed conversation, the recipient user will be notified. By determining which messages a user desires to follow, the disclosed systems and methods can identify the interests of users by leveraging information from the followed messages for advertising purposes.

System and method for email message following from a user's inbox

A cross-device messaging integration capability is disclosed, which allows a user using a first device to indicate, using a first user computing device, an intent to perform one or more messaging actions at one or more second user computing device(s). The first and second devices may be different devices. The user may receive a reminder or other notification of the user's intent at the second device(s).

Cross-device integration system and method

A system and method for generating a personalized trends module includes steps of: for a given user, producing a social timeline by logging content posted on the given user's accounts on social media sites; analyzing the social timeline for recently posted content to derive an interim summary of first trending topics for the given user; receiving from a content personalization platform an in-stream feed of second trending topics based on the user's recent on-line activity including page views, queries, and clicks; augmenting the social timeline with the second trending topics from the in-stream feed to produce an interim list of third trending topics; ranking the third trending topics by source category using a frequency index; selecting the highest ranking third trending topics from each source category; and presenting a personalized trends module with positions allocated to the highest ranking third trending topics.

Personal trends module

Methods and systems for providing content on a webpage includes rendering a webpage having a plurality of page areas. Each of the plurality of page areas is associated with an entity having display content. Selection of one of the plurality of page areas is detected. The selection causes a landing page to be rendered in place of the webpage. A return to the webpage from the landing page is detected. In response to the return, the selected page area of the webpage is modified to include at least one additional entity having associated display content.

System and method for contextually enriching content of a referrer page when returning from a landing page

A system and method for automatic draft email notification includes the following steps or acts performed while a user is engaged with a first email in an active email session: retrieving a value from the first email to use as a search term; accessing draft emails associated with the user; determining if the search term from the first email matches a corresponding string in the draft emails associated with the user; and presenting the draft emails that match the search term as a listing of selectable draft emails.

Automatic draft email notification

Method, apparatus, and programs for recommending websites. Information related to a user's browsing history of a plurality of websites is obtained. A browsing co-occurrence of at least some of the plurality of websites in one or more time periods is determined based on the obtained information related to the user's browsing history. The plurality of websites are assigned to a plurality of website groups based on the determined browsing co-occurrence. Each of the plurality of website groups is associated with one of the one or more time periods. At least one of the plurality of website groups is presented to the user based on their associated time periods.

Method and system for recommending websites

Growing community of inventors

Sunnyvale, CA, United States of America

Sudharsan Vasudevan