Apple Inc.

Nagabhushan Rao Machiraju

Michael James Graves

Richard D Borovoy

Michael Robert Hanson

Sunil Vemuri

Catherine Abbott Lofgren

Ravinder Paul Chandhok

An integrated searching/browsing mechanism employs user-constructed information hierarchies that represent a cognitive framework for the organization of information. The hierarchies are independent of the information itself. This feature permits them to be shared among multiple users, and applied to any of a variety of different sources of information. The hierarchical organization that is provided by the framework gives the user the ability to browse around any available document database in a manner that is intuitive to the user. Two or more hierarchies can be combined to locate documents which match the criteria of both hierarchies, and thereby refine search results to an appropriate level. A relevance feedback mechanism further enhances the browsing experience, by concentrating the search results in areas that are most relevant to documents selected as being of particular interest.

Portable browsing interface for information retrieval

A system for retrieving information which is relevant to a user's input. The system has an input interface through which a user can enter an input. A questions source is coupled to the input interface and contains questions which are comparable to the input and which the source retrieves in response to an input. An information source is coupled to the input interface and contains information which is relevant to retrieved questions. A searcher is coupled to the input interface for searching the information source for information which is relevant to the input. A method for a computer system to retrieve information relevant to a user's input includes the steps of: entering an input in an input interface; matching the input with a question stored in a questions source; and selecting a question in the questions source with which to retrieve information relevant to the question.

FAQ-linker

A user enters input, or a question in natural language form, and information is retrieved. A questions database is coupled to the input interface and contains questions which are comparable to the input and which the source retrieves in response to an input. An information source is coupled to the input interface and contains information which is relevant to retrieved questions. A searcher is coupled to the input interface for searching the information source for information which is relevant to the input. Information is ranked according to the entered query. A user's question is stored and linked to answers in the questions database. Users may add and link new questions which are not already stored in the questions database.

FAQ link creation between user's questions and answers

Text entry and information retrieval are combined in such a way as to automatically offer an author continuous retrieval of information potentially relevant to the text he is authoring. The author enters text in one portion of the user interface. Keywords are extracted from the text as the author enters them and are used as query words for an information retrieval mechanism to a document collection. Those queries return relevant information from the document collection in a second portion of the user interface. The user can then read or ignore the returned information or he can select the returned information to view the full context from which it came.

System for automatically retrieving information relevant to text being

Portable electronic devices containing user's calendars have proliferated. Similarly, files, web pages, databases and information sources have become commonplace. The present invention combines knowledge of the current date and time with knowledge of entries in the user's calendar to automatically generate queries against those files, databases and information sources. The results of those queries are then made available to the user in order to provide the user with additional information about the subject of the meeting, the other attendees, their employers, etc. The present invention connects multiple devices together in a passive information retrieval model, leveraging off of mobile, desktop, and server systems, context data and search and retrieval technology. The present invention is thus an automatic search and retrieval system providing its user with relevant information to a scheduled meeting or event.

Growing community of inventors

Cupertino, CA, United States of America

Nagabhushan Rao Machiraju