Abstract: A system comprising a user interface which can access downloaded electronic programs (e.g. pay per view movies) and information records related to said programs, which can be continually updated and provided over cable or satellite transmission paths or other "fast data" paths, and which can automatically correlate the program information with the preferences of the user, to create and display at least one personalized information database based upon the results of the correlation.

Abstract: A method to compress, store, and retrieve bibliometric information on multiple sources of text is presented. The compression consists of 2 parts, and may use any one of the many ordering-based bibliometric laws for sources of text. The first compression part comprises of the storage of bibliometric information on the items from a text source, using the rank of the items in the ordering relation as defined in the bibliometric law as an indication of the bibliometric information. The second compression part efficiently uses pointers and tables to get rid of redundant information. As an application, a posting compression method is presented for use in term weighting retrieval systems. The first compression uses a postulated rank-occurrence frequency relation for the document in question that has as only variable the document's length, for example Zipf's law that states that the product of rank and frequency is approximately constant.