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Volumn 4649 LNCS, Issue , 2007, Pages 216-226

Estimation of the click volume by large scale regression analysis

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATIONAL COMPLEXITY; ESTIMATION; ITERATIVE METHODS; LINEAR REGRESSION;

EID: 37249053280     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74510-5_23     Document Type: Conference Paper
Times cited : (4)

References (18)
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    • Models for sponsored search: What are the right questions? Panel Discussion at SSA'06 (2006),http://research.microsoft.com/~hartline/papers/ panel-SSA-06.pdf
  • 2
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    • Bartz, K., Murthi, V., Sebastian, S.: Logistic regression and collaborative filtering for sponsored search term recommendation. In: SSA'06 (2006)
    • Bartz, K., Murthi, V., Sebastian, S.: Logistic regression and collaborative filtering for sponsored search term recommendation. In: SSA'06 (2006)
  • 3
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    • Edelman, B., Ostrovsky, M., Schwarz, M.: Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords. In: SSA'06 (2006)
    • Edelman, B., Ostrovsky, M., Schwarz, M.: Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords. In: SSA'06 (2006)
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    • Fain, D., Pedersen, J.: Sponsored search: a brief history. In: SSA'06 (2006)
    • Fain, D., Pedersen, J.: Sponsored search: a brief history. In: SSA'06 (2006)
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    • Kleinberg, J.M.: Two algorithms for nearest-neighbor search in high dimensions. In: STOC '97, pp. 599-608 (1997)
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    • Materials of mini-course at Stuttgart University , Available at
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    • Lifshits, Y.1
  • 8
    • 0037252945 scopus 로고    scopus 로고
    • Linden, G., Smith, B., York, J.: Amazon.com recommendations item-to-item collaborative filtering. Internet Computing (2003)
    • Linden, G., Smith, B., York, J.: Amazon.com recommendations item-to-item collaborative filtering. Internet Computing (2003)
  • 9
    • 33748591085 scopus 로고    scopus 로고
    • AdWords and generalized on-line matching
    • IEEE, New York
    • Mehta, A., Saberi, A., Vazirani, U., Vazirani, V.: AdWords and generalized on-line matching. In: FOCS'05. IEEE, New York (2005)
    • (2005) FOCS'05
    • Mehta, A.1    Saberi, A.2    Vazirani, U.3    Vazirani, V.4
  • 11
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press, Cambridge, MA, USA
    • Platt, J.C.: Fast training of support vector machines using sequential minimal optimization. In: Advances in kernel methods: support vector learning, pp. 185-208. MIT Press, Cambridge, MA, USA (1999)
    • (1999) Advances in kernel methods: Support vector learning , pp. 185-208
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  • 12
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    • Regelson, M., Fain, D.: Predicting clickthrough rate using keyword clusters. In: SSA'06 (2006)
    • Regelson, M., Fain, D.: Predicting clickthrough rate using keyword clusters. In: SSA'06 (2006)
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    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1-47 (2002)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.