메뉴 건너뛰기




Volumn , Issue , 2011, Pages 705-714

Shopping for products you don't know you need

Author keywords

Long range recommendations; Query communities

Indexed keywords

EARLY WARNING; LONG-RANGE RECOMMENDATIONS; QUERY COMMUNITIES; QUERY SUGGESTION; RANDOM MODEL; RECOMMENDATION ENGINE; SEARCH LOGS; SEARCH QUERIES; TECHNICAL CONTRIBUTION;

EID: 79952381428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935921     Document Type: Conference Paper
Times cited : (5)

References (31)
  • 1
    • 0034830284 scopus 로고    scopus 로고
    • Fast computation of low rank matrix approximations
    • D. Achlioptas and F. McSherry. Fast computation of low rank matrix approximations. In STOC, pages 611-618, 2001.
    • (2001) STOC , pp. 611-618
    • Achlioptas, D.1    McSherry, F.2
  • 3
    • 36849079891 scopus 로고    scopus 로고
    • Modeling relationships at multiple scales to improve accuracy of large recommender systems
    • R. Bell, Y. Koren, and C. Volinsky. Modeling relationships at multiple scales to improve accuracy of large recommender systems. In KDD, pages 95-104, 2007.
    • (2007) KDD , pp. 95-104
    • Bell, R.1    Koren, Y.2    Volinsky, C.3
  • 5
    • 65449160200 scopus 로고    scopus 로고
    • Context-aware query suggestion by mining click-through and session data
    • H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li. Context-aware query suggestion by mining click-through and session data. In KDD, pages 875-883, 2008.
    • (2008) KDD , pp. 875-883
    • Cao, H.1    Jiang, D.2    Pei, J.3    He, Q.4    Liao, Z.5    Chen, E.6    Li, H.7
  • 6
    • 36448966738 scopus 로고    scopus 로고
    • Random walks on the click graph
    • N. Craswell and M. Szummer. Random walks on the click graph. In SIGIR, pages 239-246, 2007.
    • (2007) SIGIR , pp. 239-246
    • Craswell, N.1    Szummer, M.2
  • 8
    • 0005879905 scopus 로고    scopus 로고
    • Copulas and credit models
    • R. Frey, A. McNeil, and M. Nyfeler. Copulas and credit models. Risk, 14 (10): 111-114, 2001.
    • (2001) Risk , vol.14 , Issue.10 , pp. 111-114
    • Frey, R.1    McNeil, A.2    Nyfeler, M.3
  • 9
    • 70350637651 scopus 로고    scopus 로고
    • Improving classification accuracy using automatically extracted training data
    • A. Fuxman, A. Kannan, A. Goldberg, R. Agrawal, P. Tsaparas, and J. Shafer. Improving classification accuracy using automatically extracted training data. In KDD, pages 1145-1154, 2009.
    • (2009) KDD , pp. 145-1154
    • Fuxman, A.1    Kannan, A.2    Goldberg, A.3    Agrawal, R.4    Tsaparas, P.5    Shafer, J.6
  • 10
    • 57349127233 scopus 로고    scopus 로고
    • Using the wisdom of the crowds for keyword generation
    • A. Fuxman, P. Tsaparas, K. Achan, and R. Agrawal. Using the wisdom of the crowds for keyword generation. In WWW, pages 61-70, 2008.
    • (2008) WWW , pp. 61-70
    • Fuxman, A.1    Tsaparas, P.2    Achan, K.3    Agrawal, R.4
  • 11
    • 70350666641 scopus 로고    scopus 로고
    • Catching the drift: Learning broad matches from clickthrough data
    • S. Gupta, M. Bilenko, and M. Richardson. Catching the drift: Learning broad matches from clickthrough data. In KDD, 2009.
    • (2009) KDD
    • Gupta, S.1    Bilenko, M.2    Richardson, M.3
  • 12
    • 84862271600 scopus 로고    scopus 로고
    • Latent class models for collaborative filtering
    • T. Hofmann and J. Puzicha. Latent class models for collaborative filtering. In IJCAI, pages 688-693, 1999.
    • (1999) IJCAI , pp. 688-693
    • Hofmann, T.1    Puzicha, J.2
  • 13
    • 34247882698 scopus 로고    scopus 로고
    • Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search
    • T. Joachims, L. Granka, B. Pan, H. Hembrooke, F. Radlinski, and G. Gay. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM Trans. Inf. Syst., 25 (2), 2007.
    • (2007) ACM Trans. Inf. Syst. , vol.25 , pp. 2
    • Joachims, T.1    Granka, L.2    Pan, B.3    Hembrooke, H.4    Radlinski, F.5    Gay, G.6
  • 14
    • 0023978535 scopus 로고
    • On generating all maximal independent sets
    • DOI 10.1016/0020-0190(88)90065-8
    • D.S. Johnson, C. H. Papadimitriou, and M. Yannakakis. On generating all maximal independent sets. Information Processing Letters, 27 (3): 119-123, 1988. (Pubitemid 18590751)
    • (1988) Information Processing Letters , vol.27 , Issue.3 , pp. 119-123
    • Johnson, D.1    Yannakakis, M.2    Papadimitriou, C.H.3
  • 15
    • 4544348724 scopus 로고    scopus 로고
    • Using mixture models for collaborative filtering
    • J. Kleinberg and M. Sandler. Using mixture models for collaborative filtering. In STOC, pages 569-578, 2004.
    • (2004) STOC , pp. 569-578
    • Kleinberg, J.1    Sandler, M.2
  • 16
    • 84865663496 scopus 로고    scopus 로고
    • Releasing search queries and clicks privately
    • A. Korolova, K. Kenthapadi, N. Mishra, and A. Ntoulas. Releasing search queries and clicks privately. In WWW, pages 171-180, 2009.
    • (2009) WWW , pp. 171-180
    • Korolova, A.1    Kenthapadi, K.2    Mishra, N.3    Ntoulas, A.4
  • 17
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7 (1): 76-80, 2003.
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 18
    • 70350678967 scopus 로고    scopus 로고
    • Differentially private recommender systems: Building privacy into the net
    • F. McSherry and I. Mironov. Differentially private recommender systems: building privacy into the net. In KDD, pages 627-636, 2009.
    • (2009) KDD , pp. 627-636
    • McSherry, F.1    Mironov, I.2
  • 19
    • 67650083602 scopus 로고    scopus 로고
    • Query suggestion using hitting time
    • Q. Mei, D. Zhou, and K. Church. Query suggestion using hitting time. In CIKM, pages 469-478, 2008.
    • (2008) CIKM , pp. 469-478
    • Mei, Q.1    Zhou, D.2    Church, K.3
  • 21
    • 85030174634 scopus 로고
    • Grouplens: An open architecture for collaborative filtering of netnews
    • P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: an open architecture for collaborative filtering of netnews. In CSCW, pages 175-186, 1994.
    • (1994) CSCW , pp. 175-186
    • Resnick, P.1    Iacovou, N.2    Suchak, M.3    Bergstrom, P.4    Riedl, J.5
  • 22
    • 55149100303 scopus 로고    scopus 로고
    • Learning about the world through long-term query logs
    • M. Richardson. Learning about the world through long-term query logs. TWEB, 2 (4): 1-27, 2008.
    • (2008) TWEB , vol.2 , Issue.4 , pp. 1-27
    • Richardson, M.1
  • 23
    • 0030282113 scopus 로고    scopus 로고
    • The power of amnesia: Learning probabilistic automata with variable memory length
    • D. Ron, Y Singer, and N. Tishby. The power of amnesia: Learning probabilistic automata with variable memory length. Machine Learning, 25 (2-3): 117-149, 1996. (Pubitemid 126724391)
    • (1996) Machine Learning , vol.25 , Issue.2-3 , pp. 117-149
    • Ron, D.1    Singer, Y.2    Tishby, N.3
  • 24
    • 0032049450 scopus 로고    scopus 로고
    • On the learnability and usage of acyclic probabilistic finite automata
    • D. Ron, Y. Singer, and N. Tishby. On the leamability and usage of acyclic probabilistic finite automata. J. Comput. Syst. Sci., 56 (2):133-152, 1998. (Pubitemid 128415328)
    • (1998) Journal of Computer and System Sciences , vol.56 , Issue.2 , pp. 133-152
    • Ron, D.1    Singer, Y.2    Tishby, N.3
  • 25
    • 77954583478 scopus 로고    scopus 로고
    • Clustering query refinements by user intent
    • E. Sadikov, J. Madhavan, L. Wang, and A. Halevy. Clustering query refinements by user intent. In WWW, pages 841-850, 2010.
    • (2010) WWW , pp. 841-850
    • Sadikov, E.1    Madhavan, J.2    Wang, L.3    Halevy, A.4
  • 26
    • 34250638291 scopus 로고    scopus 로고
    • A web-based kernel function for measuring the similarity of short text snippets
    • M. Sahami and T. Heilman. A web-based kernel function for measuring the similarity of short text snippets. In WWW, pages 377-386, 2006.
    • (2006) WWW , pp. 377-386
    • Sahami, M.1    Heilman, T.2
  • 27
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW, pages 285-295, 2001.
    • (2001) WWW , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Reidl, J.4
  • 28
    • 77950941535 scopus 로고    scopus 로고
    • Matchbox: Large scale online bayesian recommendations
    • D. Stern, R. Herbrich, and T. Graepel. Matchbox: large scale online bayesian recommendations. In WWW, pages 111-120, 2009.
    • (2009) WWW , pp. 111-120
    • Stern, D.1    Herbrich, R.2    Graepel, T.3
  • 29
    • 0001228780 scopus 로고
    • A new algorithm for generating all the maximal independent sets
    • S. Tsukiyama, M. Ide, H. Ariyoshi, and I. Shirakawa. A new algorithm for generating all the maximal independent sets. SIAM J. Comput, 6 (3): 505-517, 1977.
    • (1977) SIAM J. Comput , vol.6 , Issue.3 , pp. 505-517
    • Tsukiyama, S.1    Ide, M.2    Ariyoshi, H.3    Shirakawa, I.4
  • 30
    • 72249122084 scopus 로고    scopus 로고
    • Query clustering using click-through graph
    • J. Yi and F. Maghoul. Query clustering using click-through graph. In WWW, pages 1055-1056, 2009.
    • (2009) WWW , pp. 1055-1056
    • Yi, J.1    Maghoul, F.2
  • 31
    • 77950569085 scopus 로고    scopus 로고
    • Substitutes or complements: Another step forward in recommendations
    • J. Zheng, X. Wu, J. Niu, and A. Bolivar. Substitutes or complements: another step forward in recommendations. In EC, pages 139-146, 2009.
    • (2009) EC , pp. 139-146
    • Zheng, J.1    Wu, X.2    Niu, J.3    Bolivar, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.