Prospective Client Driven Technology Recommendation

Author

He, Qi ; Spangler, W. Scott ; He, Bin ; Chen, Ying ; Kato, Linda

Author_Institution

Almaden Res. Center, IBM, San Jose, CA, USA

fYear

2012

fDate

24-27 July 2012

Firstpage

110

Lastpage

119

Abstract

Helping locate the patents of the right technologies for licensing to prospective clients is more than one billion USD business annually to IBM. However, searching for right technologies from multiple massive data sources for a value presentation to customers is a typical human labor intensive task in the past. In this paper, we design a prospective client driven technology recommendation system to enable the automatic search of technologies for patent licensing. The idea has been to make use of knowledges from the large-scale encyclopedia Wikipedia in conjunction with 11 millions patent documents to develop an online technology recommendation system for prospective clients of IBM. The live system demands not only the fast response time but also a set of highly relevant patent documents which are technically interesting to a query prospective client.

Keywords

Web sites; patents; query processing; recommender systems; IBM; Wikipedia; human labor intensive task; large-scale encyclopedia; massive data sources; online technology recommendation system; patent documents; patent licensing; prospective client driven technology recommendation; query prospective client; value presentation; Companies; Electronic publishing; Encyclopedias; Internet; Patents; Training data; IP licensing; SPAR; literature; patent; prospective; recom- mendation; technology;

fLanguage

English

Publisher

ieee

Conference_Titel

SRII Global Conference (SRII), 2012 Annual

Conference_Location

San Jose, CA

ISSN

2166-0778

Print_ISBN

978-1-4673-2318-5

Electronic_ISBN

2166-0778

Type

conf

DOI

10.1109/SRII.2012.23

Filename

6310987