Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.

Abstract: Disclosed is a system and method for managing mailing list newsletter messages for a recipient user, and organizing such messages in accordance with a receiving user's interests. The present disclosure enables novel organizational tools for emails by intuitively organizing received newsletters and providing highly visible features within a user's inbox respective the newsletters. Organization of received newsletters is ensured through ranking users' mailing lists according to his/her interest in them, based on actions made by the respective user, in addition to actions of other users receiving the same newsletters. Additionally, upon reception of such newsletters, the present disclosure provides a specialized view, in addition to added functionality within a user's inbox, thereby enhancing a user's experience and engagement with received messages of a newsletter.

Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.

Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.

Abstract: A method and system for providing targeted applications within an electronic message interface. The method comprises retrieving content from a user's electronic message in the electronic message interface, parsing and interpreting the user's context from the content, and accepting bidding on the user's interpreted context from one or more applications, the one or more applications including triggering conditions related to the user's interpreted context. The one or more applications are ranked based on the bidding. The method further comprises loading the one or more applications into the electronic message interface based on the ranking, and providing one or more follow-up transactions associated with the one or more loaded applications based on the user's interpreted context.

Abstract: Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.

Abstract: Disclosed is a system and method for managing mailing list newsletter messages for a recipient user, and organizing such messages in accordance with a receiving user's interests. The present disclosure enables novel organizational tools for emails by intuitively organizing received newsletters and providing highly visible features within a user's inbox respective the newsletters. Organization of received newsletters is ensured through ranking users' mailing lists according to his/her interest in them, based on actions made by the respective user, in addition to actions of other users receiving the same newsletters. Additionally, upon reception of such newsletters, the present disclosure provides a specialized view, in addition to added functionality within a user's inbox, thereby enhancing a user's experience and engagement with received messages of a newsletter.

Abstract: A method and system for providing targeted applications within an electronic message interface. The method comprises retrieving content from a user's electronic message in the electronic message interface, parsing and interpreting the user's context from the content, and accepting bidding on the user's interpreted context from one or more applications, the one or more applications including triggering conditions related to the user's interpreted context. The one or more applications are ranked based on the bidding. The method further comprises loading the one or more applications into the electronic message interface based on the ranking, and providing one or more follow-up transactions associated with the one or more loaded applications based on the user's interpreted context.

Abstract: Embodiments are directed towards identifying auto-folder tags for messages by using a combinational optimization approach of bi-clustering folder names and features of messages based on relationship strengths. The combinational optimization approach of bi-clustering, generally, groups a plurality of folder names and a plurality of features into one or more metafolders to optimize a cost. The cost is based on an aggregate of cut relationship strengths, where a cut results when a relationship folder name and feature are grouped in separate metafolders. Furthermore, the plurality of folder names and the plurality of features are obtained by monitoring actions of a plurality of users, where the folder names are user generated folder names and features are from a plurality of messages. The metafolders may be used to tag new user messages with an auto-folder tag.

Abstract: Embodiments are directed towards identifying auto-folder tags for messages by using a combinational optimization approach of bi-clustering folder names and features of messages based on relationship strengths. The combinational optimization approach of bi-clustering, generally, groups a plurality of folder names and a plurality of features into one or more metafolders to optimize a cost. The cost is based on an aggregate of cut relationship strengths, where a cut results when a relationship folder name and feature are grouped in separate metafolders. Furthermore, the plurality of folder names and the plurality of features are obtained by monitoring actions of a plurality of users, where the folder names are user generated folder names and features are from a plurality of messages. The metafolders may be used to tag new user messages with an auto-folder tag.

Abstract: Techniques for performing user classification based on email are provided. Emails stored in an email store may be analyzed to classify users. Information included in the stored emails may be extracted, and users may be classified into categories according to the extracted information. The extracted information may be analyzed in a manner so as to protect the personal information of the users according to any applicable privacy standards. Any number of types of emails may be analyzed to classify users in any number of ways. For instance, a plurality of commercial emails stored in the email store may be determined The commercial emails may be counted as conversions for an advertising campaign. The commercial emails may be parsed to extract commercial information. The commercial information may be parsed to generate user classification data. The user classification data may be used in various ways, including for targeting users with advertisements.

Abstract: A method for searching a corpus of documents, such as the World Wide Web, includes defining a knowledge domain and identifying a set of reference documents in the corpus pertinent to the domain. Upon inputting a query, the corpus is searched using the set of reference documents to find one or more of the documents in the corpus that contain information in the domain relevant to the query. The set of reference documents is updated with the found documents that are most relevant to the domain. The updated set is used in searching the corpus for information in the domain relevant to subsequent queries.

Abstract: A method for searching a corpus of documents, such as the World Wide Web, includes defining a knowledge domain and identifying a set of reference documents in the corpus pertinent to the domain. Upon inputting a query, the corpus is searched using the set of reference documents to find one or more of the documents in the corpus that contain information in the domain relevant to the query. The set of reference documents is updated with the found documents that are most relevant to the domain. The updated set is used in searching the corpus for information in the domain relevant to subsequent queries.

Abstract: A method for searching a corpus of documents, such as the World Wide Web, includes defining a knowledge domain and identifying a set of reference documents in the corpus pertinent to the domain. Upon inputting a query, the corpus is searched using the set of reference documents to find one or more of the documents in the corpus that contain information in the domain relevant to the query. The set of reference documents is updated with the found documents that are most relevant to the domain. The updated set is used in searching the corpus for information in the domain relevant to subsequent queries.

Abstract: A method for morphological disambiguation includes receiving an input string and morphologically analyzing the string to generate a list of candidate analyses of the string, each candidate analysis including a respective word and a linguistic pattern of the word. The pattern of each of the analyses is evaluated against a predefined criterion in order to select one or more of the analyses from the list. The method is suitable particularly for computerized analysis and searching in Hebrew and other Semitic languages.

Abstract: A method for monitoring activity on a computer network includes providing a map of a group of resources, which are accessible via the computer network, and tracking access of the resources in the group by computer users, so as to identify one or more of the users with respective resources that they are accessing. An identification of the one or more users and their respectively-accessed resources is registered with the map.

Abstract: A method for monitoring activity on a computer network includes providing a map of a group of resource, which are accessible via the computer network, and tracking access of the resources in the group by computer users, so as to identify one or more of the users with respective resources that they are accessing. An identification of the one or more users and their respectively-accessed resources is registered with the map.

Abstract: A method for indexing text on a personal digital assistant (PDA). The method may include the steps of transferring dynamic documents from the PDA to an off line mediary, creating off-line, from the dynamic documents, a static index and transferring the off-line static index to the PDA. The off-line mediary may be a mediary, such as a desktop, a server, and a web server.

Abstract: A method for monitoring activity on a computer network includes providing a map of a group of resource, which are accessible via the computer network, and tracking access of the resources in the group by computer users, so as to identify one or more of the users with respective resources that they are accessing. An identification of the one or more users and their respectively-accessed resources is registered with the map.

Abstract: A method for searching a corpus of documents, such as the World Wide Web, includes defining a knowledge domain and identifying a set of reference documents in the corpus pertinent to the domain. Upon inputting a query, the corpus is searched using the set of reference documents to find one or more of the documents in the corpus that contain information in the domain relevant to the query. The set of reference documents is updated with the found documents that are most relevant to the domain. The updated set is used in searching the corpus for information in the domain relevant to subsequent queries.