PREFETCHING AND CACHING DOCUMENTS ACCORDING TO PROBABILITYRANKED NEEDS LIST

Patent №

US 6,098,064

Granted

2000-08-01

Filed 1998

Owner

XEROX CORPORATION

Lab

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09083645

A method is presented for determining whether to prefetch and cache documents on a computer. In one embodiment, documents are prefetched and cached on a client computer from servers located on the Internet in accordance with their computed need probability. Those document with a higher need probability are prefetched and cached before documents with lower need probabilities. The need probability for a document is computed using both a document context factor and a document history factor. The context factor of the need probability of a document is determined by computing the correlation between words in the document and a context Q of the operating environment. The history factor of the need probability of a document is determined by integrating both the recency of document use and the frequency of document use.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG06F 16/9574H04L 67/53H04L 67/56H04L 67/5681H04L 67/5682H04L 69/329Y10S 707/99932Y10S 707/99935

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware1.00
Machine learning1.00
Speech1.00
Planning0.88
Vision0.10
Evolutionary computation0.01

Ownership

XEROX CORPORATION

assignment · 105020006

Assignors

PIROLLI, PETER L., PITKOW, JAMES E.

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

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