Abstract: A software module, method and system for managing and retrieving information items through activation, especially by bookmarking information items, are disclosed. User's attention strengths and activation of information items are monitored and measured. Information items are ranked and prioritized accordingly to its activation for ease in retrieval of information items. A bookmark feature for bookmarking information items is provided for elevating relevance or importance of the information items by boosting activation of the information items. Conceptual or virtual container is also provided to the users for categorizing or grouping bookmarks. Combining aforementioned inventive features with a local search engine provides a human brain-like information management and retrieval system.

Abstract: The present invention relates generally to personal information management methods and systems. More specifically, the present invention is related to a system and method for collecting and managing user consumed information items in the form of journal entries by monitoring the user's attention strength, recording activation of said consumed information items, and an information retrieval system and method providing search results as a combination of journal entries and retrieved information items from local search engines.

Abstract: Methods and systems for applying attention strength, activation scores and co-occurrence statistics to information management. Attention strength values used in computing the base activation scores of information items are derived from user interactions with such items. Co-occurrence strength values used in computing associative activation and partial matching scores of information items are also derived from attention strength values. Activation scores of information items are then derived and employed in a variety of information management methods and systems.

Abstract: Methods and systems for applying attention strength, activation scores and co-occurrence statistics to information management. Attention strength values used in computing the base activation scores of information items are derived from user interactions with such items. Co-occurrence strength values used in computing associative activation and partial matching scores of information items are also derived from attention strength values. Activation scores of information items are then derived and employed in a variety of information management methods and systems.