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
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.