System and method for adaptive text recommendation

Details System and method for adaptive text recommendation System and method for adaptive text recommendation

2005-01-18

2005-01-18

Ali, Mohammad (Department: 2177)

Data processing: database and file management or data structures

Database design

Data structure types

C715S252000

Reexamination Certificate

active

06845374

ABSTRACT:
Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

REFERENCES:
patent: 5519857 (1996-05-01), Kato et al.
patent: 6078918 (2000-06-01), Allen et al.
patent: 6314420 (2001-11-01), Lang et al.
patent: 6542905 (2003-04-01), Fogel et al.
patent: 20030046270 (2003-03-01), Leung et al.
Yuwono et al. “Search and ranking algorithms for locating resources on hte World Wide Web” Data Engineering, 26 Feb.-Marc 1996, PP 164-71.

Affiliated with

Also associated with

Rating

System and method for adaptive text recommendation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for adaptive text recommendation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for adaptive text recommendation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3382929