Dell Software Inc.

Sonicwall Inc.

Mailfrontier, Inc. a Wholly Owned Subsidiary of Sonicwall, Inc.

Mailfrontier, Inc

Wray Lindsay Buntine

Jonathan J Oliver

George Roumeliotis

Steven Waterhouse

Rohan Baxter

Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Message recommendation using word isolation and clustering

System and method for adaptive text recommendation

Personalized electronic-mail delivery is disclosed. The content of incoming electronic-mail messages is identified. Determinations may be made with respect to whether the content of the incoming electronic-mail messages corresponds to a user profile. The user profile may indicate one or more user preferences of a particular user with respect to incoming electronic-mail messages. If the incoming electronic-mail messages correspond to the one or more user preferences indicated in the user profile, the electronic-mail messages may be delivered to an electronic-mail server. The electronic-mail messages may then be displayed to the user via a list of electronic-mail messages reflective of those messages that are stored at the electronic-mail server and accessible to the end-user.

Personalized electronic-mail delivery

Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing the text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time; for example, upon logging onto a web site or as the client views additional documents or pages of a website. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Systems and methods for providing a user with personalized recommendations of accessing electronic-mail at an electronic-mail document server are provided. Recommendations may be based on determined interests of the user based on the theme or concept of a previously categorized document, the previously categorized document having been previously accessed by the user.

Method and system providing user with personalized recommendations by electronic-mail based upon the determined interests of the user pertain to the theme and concepts of the categorized document

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Berkley, CA, United States of America

Wray Lindsay Buntine