Method and apparatus for dynamic relevance ranking
First Claim
Patent Images
1. In a computer system, a method for providing a user with newly-received documents having a selected range of relevance, said method comprising the computer-implemented steps of:
- providing a first set of training data having plurality of training documents, said first set of training data having a first collective absolute relevance indicative of an extent to which said plurality of training documents includes preferred content;
specifying a relative relevance threshold indicative of a relevance of desired newly-received documents relative to said first collective absolute relevance;
selecting, for said first set of training data, a selected range bounded by an absolute-relevance threshold corresponding to said relative relevance threshold;
determining whether a newly-received document has an absolute-relevance score within said range, said absolute relevance score being indicative of an extent to which said newly-received document includes preferred content.
10 Assignments
0 Petitions
Accused Products
Abstract
The present invention provides a method and apparatus for implementing dynamic relevance ranking. The method includes the step of registering a profile. A newly received document is dynamically filtered with the profile. Registration is performed by entering the profile, and searching training data in accordance with the profile. The training data is searched by determining the relevance score of documents in the training data. The documents in the training data are ranked to form a list. The least relevant document in the list is specified.
-
Citations
33 Claims
-
1. In a computer system, a method for providing a user with newly-received documents having a selected range of relevance, said method comprising the computer-implemented steps of:
-
providing a first set of training data having plurality of training documents, said first set of training data having a first collective absolute relevance indicative of an extent to which said plurality of training documents includes preferred content; specifying a relative relevance threshold indicative of a relevance of desired newly-received documents relative to said first collective absolute relevance; selecting, for said first set of training data, a selected range bounded by an absolute-relevance threshold corresponding to said relative relevance threshold; determining whether a newly-received document has an absolute-relevance score within said range, said absolute relevance score being indicative of an extent to which said newly-received document includes preferred content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A computer-readable medium having, encoded thereon, software for providing a user with newly-received documents having a selected range of relevance, said software comprising instructions for executing the steps of:
-
providing a first set of training data having plurality of training documents, said first set of training data having a first collective absolute relevance indicative of an extent to which said plurality of training documents includes preferred content; specifying a relative relevance threshold indicative of a relevance of desired newly-received documents relative to said first collective absolute relevance; selecting, for said first set of training data, a selected range bounded by an absolute-relevance threshold corresponding to said relative relevance threshold; determining whether a newly-received document has an absolute-relevance score within said range, said absolute relevance score being indicative of an extent to which said newly-received document includes preferred content. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
-
-
23. A computer system for providing a user with newly-received documents having a selected range of relevance, said system comprising:
-
a computer-readable representation of a first set of training data having a plurality of training documents, said first set of training data having a first collective absolute relevance indicative of an extent to which said plurality of training documents includes preferred content; means for specifying a relative relevance threshold indicative of a relevance of desired newly-received documents relative to said first collective absolute relevance; selection means for selecting, for said first set of training data, a selected range bounded by an absolute-relevance threshold corresponding to said relative relevance threshold; means for determining whether a newly-received document has an absolute-relevance score within said range, said absolute relevance score being indicative of an extent to which said newly-received document includes preferred content. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
-
Specification