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Volumn , Issue , 2014, Pages 727-736

Learning to personalize trending image search suggestion

Author keywords

Image search; Matrix factorization; Personalization; Query suggestion; Trending search detection

Indexed keywords

SEARCH ENGINES;

EID: 84904537012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2609569     Document Type: Conference Paper
Times cited : (26)

References (35)
  • 1
    • 84866010145 scopus 로고    scopus 로고
    • Finding trending local topics in search queries for personalization of a recommendation system
    • Z. Al Bawab, G. H. Mills, and J.-F. Crespo. Finding trending local topics in search queries for personalization of a recommendation system. In Proceedings of SIGKDD, pages 397-405, 2012.
    • (2012) Proceedings of SIGKDD , pp. 397-405
    • Al Bawab, Z.1    Mills, G.H.2    Crespo, J.-F.3
  • 2
    • 80055026020 scopus 로고    scopus 로고
    • Context-sensitive query auto-completion
    • Z. Bar-Yossef and N. Kraus. Context-sensitive query auto-completion. In Proceedings of WWW, pages 107-116, 2011.
    • (2011) Proceedings of WWW , pp. 107-116
    • Bar-Yossef, Z.1    Kraus, N.2
  • 8
    • 34347235482 scopus 로고    scopus 로고
    • Hot topic extraction based on timeline analysis and multidimensional sentence modeling
    • K.-Y. Chen, L. Luesukprasert, and S.-C. T. Chou. Hot topic extraction based on timeline analysis and multidimensional sentence modeling. IEEE Trans. on Knowl. and Data Eng., 19(8):1016-1025, 2007.
    • (2007) IEEE Trans. on Knowl. and Data Eng. , vol.19 , Issue.8 , pp. 1016-1025
    • Chen, K.-Y.1    Luesukprasert, L.2    Chou, S.-C.T.3
  • 12
  • 13
    • 37849027269 scopus 로고    scopus 로고
    • Video search reranking through random walk over document-level context graph
    • W. H. Hsu, L. S. Kennedy, and S.-F. Chang. Video search reranking through random walk over document-level context graph. In Proceedings of ACM Multimedia, pages 971-980, 2007.
    • (2007) Proceedings of ACM Multimedia , pp. 971-980
    • Hsu, W.H.1    Kennedy, L.S.2    Chang, S.-F.3
  • 14
    • 0037960267 scopus 로고    scopus 로고
    • Relevant term suggestion in interactive web search based on contextual information in query session logs
    • May
    • C.-K. Huang, L.-F. Chien, and Y.-J. Oyang. Relevant term suggestion in interactive web search based on contextual information in query session logs. J. Am. Soc. Inf. Sci. Technol., 54(7):638-649, May 2003.
    • (2003) J. Am. Soc. Inf. Sci. Technol. , vol.54 , Issue.7 , pp. 638-649
    • Huang, C.-K.1    Chien, L.-F.2    Oyang, Y.-J.3
  • 16
    • 57349149054 scopus 로고    scopus 로고
    • Generating diverse and representative image search results for landmarks
    • L. S. Kennedy and M. Naaman. Generating diverse and representative image search results for landmarks. In Proceedings of WWW, pages 297-306, 2008.
    • (2008) Proceedings of WWW , pp. 297-306
    • Kennedy, L.S.1    Naaman, M.2
  • 17
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009.
    • (2009) IEEE Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 18
    • 82555183095 scopus 로고    scopus 로고
    • Ordrec: An ordinal model for predicting personalized item rating distributions
    • Y. Koren and J. Sill. Ordrec: An ordinal model for predicting personalized item rating distributions. In Proceedings of ACM Recommender Systems, pages 117-124, 2011.
    • (2011) Proceedings of ACM Recommender Systems , pp. 117-124
    • Koren, Y.1    Sill, J.2
  • 19
    • 77956052729 scopus 로고    scopus 로고
    • Mining the blogosphere for top news stories identification
    • Y. Lee, H.-Y. Jung, W. Song, and J.-H. Lee. Mining the blogosphere for top news stories identification. In Proceedings of SIGIR, pages 395-402, 2010.
    • (2010) Proceedings of SIGIR , pp. 395-402
    • Lee, Y.1    Jung, H.-Y.2    Song, W.3    Lee, J.-H.4
  • 20
    • 80155150165 scopus 로고    scopus 로고
    • Mining concept sequences from large-scale search logs for context-aware query suggestion
    • Z. Liao, D. Jiang, E. Chen, J. Pei, H. Cao, and H. Li. Mining concept sequences from large-scale search logs for context-aware query suggestion. ACM Trans. on Intell. Syst. Technol., 3(1):17, 2011.
    • (2011) ACM Trans. on Intell. Syst. Technol. , vol.3 , Issue.1 , pp. 17
    • Liao, Z.1    Jiang, D.2    Chen, E.3    Pei, J.4    Cao, H.5    Li, H.6
  • 21
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. In Proceedings of ICCV, pages 1150-1157, 1999.
    • (1999) Proceedings of ICCV , pp. 1150-1157
    • Lowe, D.G.1
  • 22
    • 67650067661 scopus 로고    scopus 로고
    • Learning latent semantic relations from clickthrough data for query suggestion
    • H. Ma, H. Yang, I. King, and M. R. Lyu. Learning latent semantic relations from clickthrough data for query suggestion. In Proceedings of CIKM, 2008.
    • (2008) Proceedings of CIKM
    • Ma, H.1    Yang, H.2    King, I.3    Lyu, M.R.4
  • 23
    • 67650083602 scopus 로고    scopus 로고
    • Query suggestion using hitting time
    • Q. Mei, D. Zhou, and K. Church. Query suggestion using hitting time. In Proceedings of CIKM, pages 469-478, 2008.
    • (2008) Proceedings of CIKM , pp. 469-478
    • Mei, Q.1    Zhou, D.2    Church, K.3
  • 24
    • 84893956152 scopus 로고    scopus 로고
    • Multimedia search reranking: A literature survey
    • Sept.
    • T. Mei, Y. Rui, S. Li, and Q. Tian. Multimedia Search Reranking: A Literature Survey. ACM Computing Surveys, 46(3), Sept. 2014.
    • (2014) ACM Computing Surveys , vol.46 , Issue.3
    • Mei, T.1    Rui, Y.2    Li, S.3    Tian, Q.4
  • 28
    • 84884561641 scopus 로고    scopus 로고
    • Towards cross-domain learning for social video popularity prediction
    • S. D. Roy, T. Mei, W. Zeng, and S. Li. Towards cross-domain learning for social video popularity prediction. IEEE Trans. on Multimedia, 15(6):1255-1267, 2013.
    • (2013) IEEE Trans. on Multimedia , vol.15 , Issue.6 , pp. 1255-1267
    • Roy, S.D.1    Mei, T.2    Zeng, W.3    Li, S.4
  • 29
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proceedings of WWW, pages 285-295, 2001.
    • (2001) Proceedings of WWW , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 30
    • 78649978910 scopus 로고    scopus 로고
    • List-wise learning to rank with matrix factorization for collaborative filtering
    • Y. Shi, M. Larson, and A. Hanjalic. List-wise learning to rank with matrix factorization for collaborative filtering. In Proceedings of ACM Recommender Systems, pages 269-272, 2010.
    • (2010) Proceedings of ACM Recommender Systems , pp. 269-272
    • Shi, Y.1    Larson, M.2    Hanjalic, A.3
  • 31
    • 84883114975 scopus 로고    scopus 로고
    • Learning to personalize query auto-completion
    • M. Shokouhi. Learning to personalize query auto-completion. In Proceedings of SIGIR, pages 103-112, 2013.
    • (2013) Proceedings of SIGIR , pp. 103-112
    • Shokouhi, M.1
  • 32
    • 77954863556 scopus 로고    scopus 로고
    • Scene reconstruction and visualization from community photo collections
    • N. Snavely, I. Simon, M. Goesele, R. Szeliski, and S. M. Seitz. Scene reconstruction and visualization from community photo collections. Proceedings of the IEEE, 98(8):1370-1390, 2010.
    • (2010) Proceedings of the IEEE , vol.98 , Issue.8 , pp. 1370-1390
    • Snavely, N.1    Simon, I.2    Goesele, M.3    Szeliski, R.4    Seitz, S.M.5
  • 34
    • 72449152230 scopus 로고    scopus 로고
    • Fast nonparametric matrix factorization for large-scale collaborative filtering
    • K. Yu, S. Zhu, J. Lafferty, and Y. Gong. Fast nonparametric matrix factorization for large-scale collaborative filtering. In Proceedings of SIGIR, 2009.
    • (2009) Proceedings of SIGIR
    • Yu, K.1    Zhu, S.2    Lafferty, J.3    Gong, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.