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Patent Searching and Data


Title:
広告キーワード相互販売
Document Type and Number:
Japanese Patent JP5478889
Kind Code:
B2
Abstract:
Seed keywords are leveraged to provide expanded keywords that are then associated with relevant advertisers. Instances can also include locating potential advertisers based on the expanded keywords. Inverse lookup techniques are employed to determine which keywords are associated with an advertiser. Filtering can then be employed to eliminate inappropriate keywords for that advertiser. The keywords are then automatically revealed to the advertiser for consideration as relevant search terms for their advertisements. In this manner, revenue for a search engine and/or for an advertiser can be substantially enhanced through the automatic expansion of relevant search terms. Advertisers also benefit by having larger and more relevant search term selections automatically available to them, saving them both time and money.

Inventors:
Non, Schuchen
Re, Inn
Nazim, Tarek
Ri
Zen, Hua Jun
Chen, Zen
Chang, Ben You
Application Number:
JP2008545598A
Publication Date:
April 23, 2014
Filing Date:
November 13, 2006
Export Citation:
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Assignee:
MICROSOFT CORPORATION
International Classes:
G06Q30/02; G06F17/30; G06Q30/06
Domestic Patent References:
JP2006079454A
JP2003242159A
JP2003233731A
JP2002372940A
Foreign References:
WO2005065401A2
WO2005008421A2
WO2005081900A2
WO2005062863A2
WO2004021152A2
WO2004095335A1
WO2006005102A1
WO2007016042A2
WO2000073960A1
Other References:
GLEICH, David et al.,"SVD Based Term Suggestion and Ranking System",Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM 2004),2004年11月 1日,pp.391-394
CHIEN, Steve et al.,"Semantic Similarity Between Search Engine Queries Using Temporal Correlation",Proceedings of the 14th International World Wide Web Conference (WWW2005),2005年 5月10日,pp. 2―11.
GLEICH, David et al.,"SVD Based Term Suggestion and Ranking System",Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM 2004),2004年11月 1日,pp. 391―394.
GLEICH, David et al.,"SVD Subspace Projections for Term Suggestion Ranking and Clustering" [online],2004年 4月,[Internet Archive 2004年 4月20日],URL,http://web.archive.org/web/20040420033639/http://www.cs.hmc.edu/~dgleich/publications/svd-subspace-projections.pdf
[anonymous],"SEMphonic Unveils MarketScan, First On-Demand SEM Tool to Provide Fully Automated Keyword Discovery and Competitive Analysis" [online],PR Newswire,2005年 4月25日,[検索日 2012年12月10日],URL,http://www.prnewswire.com/news-releases/semphonic-unveils-marketscan-first-on-demand-sem-tool-to-provide-fully-automated-keyword-discovery-and-competitive-analysis-54400677.html
梅永明寛ほか,「WEB検索におけるキーワード関連語提案システムの検索性能精錬とその応用について」,情報処理学会 第67回(平成17年)全国大会講演論文集(3),2005年 3月 2日,3-225―3-226ページ.
吉岡真治,「情報検索における検索語拡張手法の有用性分析手法の提案」,情報処理学会研究報告,2005年11月 2日,2005-FI-81,53―60ページ.
WEN, Ji-Rong et al.,"Clustering User Queries of a Search Engine",Proceedings of the Tenth International World Wide Web Conference (WWW10),2001年 5月 1日,pp. 162―168.
MAH, Teresa et al.,"Visually Mining Web User Clickpaths",Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002),2002年12月 9日,pp. 771―774.
SARUKKAI, Ramesh R.,"How Much Is a Keyword Worth?",Proceedings of the 14th International World Wide Web Conference (WWW2005),2005年 5月10日,pp. 890―891.
Attorney, Agent or Firm:
Shinjiro Ono
Kazuo Shamoto
Yasushi Kobayashi
Akio Chiba
Hiroyuki Tomita
Motoharu Nakanishi