USING A WEIGHTED TREE TO DETERMINE DOCUMENT RELEVANCE

Patent №

US 7,962,480

Granted

2011-06-14

Filed 2007

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

5

ml · nlp · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11831841

The relevance of documents is automatically determined based upon a weighted tree. Terms considered to be relevant are assigned to the leaf nodes of a tree data structure. A location can also be specified in a leaf node, indicating where in a document the term must appear to be considered relevant. Internal nodes of the tree are assigned operators (e.g., add, maximum or minimum). The connections between nodes are assigned weights. A relevance value for a given document is calculated as a function of occurrence in the document of terms assigned to leaves, operators assigned to internal nodes, and weights assigned to the associated node connections. Weighted trees can be used to process search queries. Documents with high relevance scores calculated against the tree can be returned to a user as the results to a query.

AI classification

Natural language1.00
Knowledge representation1.00
Planning0.98
Machine learning0.92
Evolutionary computation0.86
AI hardware0.01
Vision0.00
Speech0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 202380429

Assignors

ZHANG, LI, XIONG, YUHONG, FENG, SHICONG, ZHAO, YONG

On an employer assignment, the assignors are typically the inventors.

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