Abstract: A technique for automatically finding and organizing items similar to example items includes providing related, not related, and suggestions group areas for one organization instance, each in these areas to contain items which may consist of documents. At least one example item for the one organization instance is provided by a user and placed in the related group area of the one organization instance. A database is searched using a relevance algorithm to try to locate at least one item which is related to the at least one item in the related group area based on a predetermined criterion and the located at least one item is placed in the suggestions group area of the one organization instance. The predetermined criterion is modified based on at least one of the user providing at least one additional example item and the user moving an item from one of the group areas to another of the group areas.

Abstract: A system and method for finding items related to an example item or a set of example items in a low processing power device with limited storage are provided. The system comprises relationship agents, an item relationship database, a synchronizer, and logic for finding related items. The relationship agents are embedded in a computing device separated from the low processing power device. The relationship agents automatically build relationship information between different items based on certain criteria, including temporal relevance, content relevance and people relevance. The item relationship database is formed by the relationship agents and stores the relationship information between different items. The synchronizer transfers the item relationship database, or a portion thereof, from the computing device to the low processing power device. Using queries to the transferred item relationship database, logic embedded in the low processing power device finds items related to the example item.

Abstract: A system and method for finding items related to an example item or a set of example items in a low processing power device with limited storage are provided. The system comprises relationship agents, an item relationship database, a synchronizer, and logic for finding related items. The relationship agents are embedded in a computing device separated from the low processing power device. The relationship agents automatically build relationship information between different items based on certain criteria, including temporal relevance, content relevance and people relevance. The item relationship database is formed by the relationship agents and stores the relationship information between different items. The synchronizer transfers the item relationship database, or a portion thereof, from the computing device to the low processing power device. Using queries to the transferred item relationship database, logic embedded in the low processing power device finds items related to the example item.

Abstract: A method of automatically associating data items residing in diverse applications, including, but not limited to: file system explorer, outlook, email and Web Browser applications that are executable in a host computer system with a data item selected by a user from one of the diverse application, said method comprising: monitoring incoming data items from the diverse applications; creating and maintaining meta-data which stores data items in a compact form, by associating incoming data items from the diverse applications with previously created meta-data of related data items and creating new meta-data for incoming data items not related to items contained in previously created meta-data; locating and displaying data items related to a data item selected by a user upon a command by said user; and updating the meta-data for the displayed data items in response to a user command.