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Volumn , Issue , 2008, Pages 219-226

Analyzing search engine advertising: Firm behavior and cross-selling in electronic markets

Author keywords

Electronic commerce; Hierarchical bayesian modeling; Online advertising; Paid search advertising; Search engines; Web 2.0

Indexed keywords

AUCTION MECHANISMS; BAYESIAN; BRAND NAMES; CONSUMER SPENDING; ELECTRONIC MARKETS; HIERARCHICAL BAYESIAN MODELING; MARKOV CHAIN MONTE CARLO METHODS; MODELING FRAMEWORKS; MULTIPLE PRODUCTS; ON-LINE ADVERTISINGS; ONLINE ADVERTISING; OPTIMAL BIDS; PAID SEARCH ADVERTISING; POLICY SIMULATIONS; PRIOR WORKS; PRODUCT CATEGORIES; PURCHASE ORDERS; SEARCH KEYWORDS; SELLING OPPORTUNITIES; WEB 2.0;

EID: 57349120509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367528     Document Type: Conference Paper
Times cited : (18)

References (20)
  • 2
    • 0142030258 scopus 로고    scopus 로고
    • Taxonomy of web search
    • Broder, A. Taxonomy of web search, SIGIR Forum, vol. 36, 2002, 3-10.
    • (2002) SIGIR Forum , vol.36 , pp. 3-10
    • Broder, A.1
  • 3
    • 0742306220 scopus 로고    scopus 로고
    • Modeling the clickstream: Implications for web-based advertising efforts
    • Chatterjee, P., Hoffman, D., and Novak, T. Modeling the clickstream: implications for web-based advertising efforts. Marketing Science: 22(4), 2003, 520-541.
    • (2003) Marketing Science , vol.22 , Issue.4 , pp. 520-541
    • Chatterjee, P.1    Hoffman, D.2    Novak, T.3
  • 4
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hastings algorithm
    • Chib, S., and Greenberg, E. Understanding the Metropolis-Hastings algorithm. The American Statistician, 49, 1995, 327-335.
    • (1995) The American Statistician , vol.49 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 5
    • 0038265052 scopus 로고    scopus 로고
    • Different forced-exposure levels to banner advertisements
    • Cho, C., Lee, J., and Tharp, M. Different forced-exposure levels to banner advertisements, Journal of Advertising Research, 41(4), 2001, 45-56.
    • (2001) Journal of Advertising Research , vol.41 , Issue.4 , pp. 45-56
    • Cho, C.1    Lee, J.2    Tharp, M.3
  • 6
    • 0242451095 scopus 로고    scopus 로고
    • Banner advertisements through a new lens
    • Dahlen, M. Banner advertisements through a new lens, Journal of Advertising Research, 41(4), 2001, 23-30.
    • (2001) Journal of Advertising Research , vol.41 , Issue.4 , pp. 23-30
    • Dahlen, M.1
  • 7
    • 23844550382 scopus 로고    scopus 로고
    • Factors affecting online advertising recall: A Study of Students
    • September
    • Danaher, P., and Mullarkey, G. Factors affecting online advertising recall: A Study of Students, Journal of Advertising Research, September, 2003, 252-267.
    • (2003) Journal of Advertising Research , pp. 252-267
    • Danaher, P.1    Mullarkey, G.2
  • 8
    • 35448949581 scopus 로고    scopus 로고
    • Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords
    • Edelman, B., Ostrovsky, M., and Schwarz, M. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American Economic Review, 97(1), 2007, 242-259.
    • (2007) American Economic Review , vol.97 , Issue.1 , pp. 242-259
    • Edelman, B.1    Ostrovsky, M.2    Schwarz, M.3
  • 9
    • 57349131789 scopus 로고    scopus 로고
    • Implementing sponsored search in web search engines: Computational evaluation of alternative mechanisms
    • Feng, J, Bhargava, H., and Pennock, D. Implementing sponsored search in web search engines: Computational evaluation of alternative mechanisms. Informs Journal on Computing, 19(1), 2007, 137-148.
    • (2007) Informs Journal on Computing , vol.19 , Issue.1 , pp. 137-148
    • Feng, J.1    Bhargava, H.2    Pennock, D.3
  • 11
    • 0001814815 scopus 로고
    • Informative advertising with differentiated products
    • Grossman, G., and Shapiro, C. Informative advertising with differentiated products. Review of Economic Studies. 51(1), 1984, 63-81.
    • (1984) Review of Economic Studies , vol.51 , Issue.1 , pp. 63-81
    • Grossman, G.1    Shapiro, C.2
  • 14
    • 44949274350 scopus 로고
    • Applying latent trait analysis in the evaluation of prospects for cross-selling of financial services
    • Kamakura W., S. Ramaswami, and Srivastava, R. 1991. Applying latent trait analysis in the evaluation of prospects for cross-selling of financial services. Int. Journal, of Research in Marketing, 8: 329-349.
    • (1991) Int. Journal, of Research in Marketing , vol.8 , pp. 329-349
    • Kamakura, W.1    Ramaswami, S.2    Srivastava, R.3
  • 15
    • 0042919556 scopus 로고    scopus 로고
    • Next-Product-to-Buy models for cross-selling applications
    • Knott A., A. Hayes, and Neslin, S. Next-Product-to-Buy models for cross-selling applications. Journal of Interactive Marketing, 16 (3), 2002, 59-75.
    • (2002) Journal of Interactive Marketing , vol.16 , Issue.3 , pp. 59-75
    • Knott, A.1    Hayes, A.2    Neslin, S.3
  • 16
    • 18444395594 scopus 로고    scopus 로고
    • Cross-selling sequentially ordered products: An application to consumer banking services
    • May
    • Li, S., Sun, B., and Wilcox, R. Cross-selling sequentially ordered products: An application to consumer banking services. Journal of Marketing Research, XLII, May, 2005, 233-239.
    • (2005) Journal of Marketing Research , vol.42 , pp. 233-239
    • Li, S.1    Sun, B.2    Wilcox, R.3
  • 18
    • 1842783295 scopus 로고    scopus 로고
    • Dynamic conversion behavior at e-commerce sites
    • Moe, W., and Fader, P. Dynamic conversion behavior at e-commerce sites. Management Science, 50(3), 2003, 326-335.
    • (2003) Management Science , vol.50 , Issue.3 , pp. 326-335
    • Moe, W.1    Fader, P.2
  • 19
    • 0142231525 scopus 로고    scopus 로고
    • Bayesian statistics and marketing
    • Rossi, P. E., and Allenby, G. Bayesian statistics and marketing. Marketing Science, 22, 2003, 304-329.
    • (2003) Marketing Science , vol.22 , pp. 304-329
    • Rossi, P.E.1    Allenby, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.