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Volumn , Issue , 2015, Pages 211-218

Adaptation and evaluation of recommendations for short-term shopping goals

Author keywords

Algorithms; Context; E Commerce; Evaluation

Indexed keywords

ALGORITHMS; COMMERCE; RECOMMENDER SYSTEMS;

EID: 84962828456     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2792838.2800176     Document Type: Conference Paper
Times cited : (121)

References (32)
  • 2
    • 74949124980 scopus 로고    scopus 로고
    • Recommender systems: Incremental clustering on web log data
    • S. R. Aghabozorgi and T. Y. Wah. Recommender systems: Incremental clustering on web log data. In Proc. ICIS '09, pages 812-818, 2009.
    • (2009) Proc. ICIS '09 , pp. 812-818
    • Aghabozorgi, S.R.1    Wah, T.Y.2
  • 3
    • 79959871880 scopus 로고    scopus 로고
    • ARS: Web page recommendation system for anonymous users based on web usage mining
    • Y. AlMurtadha, N. B. Sulaiman, N. Mustapha, N. I. Udzir, and Z. Muda. ARS: Web page recommendation system for anonymous users based on web usage mining. In Proc. ECS '10, pages 115-120, 2010.
    • (2010) Proc. ECS '10 , pp. 115-120
    • AlMurtadha, Y.1    Sulaiman, N.B.2    Mustapha, N.3    Udzir, N.I.4    Muda, Z.5
  • 5
    • 78649922777 scopus 로고    scopus 로고
    • Towards time-dependant recommendation based on implicit feedback
    • L. Baltrunas and X. Amatriain. Towards time-dependant recommendation based on implicit feedback. In Proc. CARS WS at RecSys '09, 2009.
    • (2009) Proc. CARS WS at RecSys '09
    • Baltrunas, L.1    Amatriain, X.2
  • 6
    • 79952764528 scopus 로고    scopus 로고
    • Context relevance assessment for recommender systems
    • L. Baltrunas, B. Ludwig, and F. Ricci. Context relevance assessment for recommender systems. In Proc. IUI '11, pages 287-290, 2011.
    • (2011) Proc. IUI '11 , pp. 287-290
    • Baltrunas, L.1    Ludwig, B.2    Ricci, F.3
  • 7
    • 84894047367 scopus 로고    scopus 로고
    • Time-aware recommender systems: A comprehensive survey and analysis of existing evaluation protocols
    • P. G. Campos, F. Díez, and I. Cantador. Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols. UMUAI, 24(1-2):67-119, 2014.
    • (2014) UMUAI , vol.24 , Issue.1-2 , pp. 67-119
    • Campos, P.G.1    Díez, F.2    Cantador, I.3
  • 8
    • 80052799945 scopus 로고    scopus 로고
    • Looking for \good" recommendations: A comparative evaluation of recommender systems
    • P. Cremonesi, F. Garzotto, S. Negro, A. Papadopoulos, and R. Turrin. Looking for \good" recommendations: A comparative evaluation of recommender systems. In Proc. Interact '11, pages 152-168, 2011.
    • (2011) Proc. Interact '11 , pp. 152-168
    • Cremonesi, P.1    Garzotto, F.2    Negro, S.3    Papadopoulos, A.4    Turrin, R.5
  • 9
    • 84983573819 scopus 로고    scopus 로고
    • Investigating the persuasion potential of recommender systems from a quality perspective: An empirical study
    • P. Cremonesi, F. Garzotto, and R. Turrin. Investigating the persuasion potential of recommender systems from a quality perspective: An empirical study. ACM TIST, 2(2):11:1-11:41, 2012.
    • (2012) ACM TIST , vol.2 , Issue.2 , pp. 111-1141
    • Cremonesi, P.1    Garzotto, F.2    Turrin, R.3
  • 10
    • 78649914423 scopus 로고    scopus 로고
    • Performance of algorithms on top-n recommendation tasks
    • P. Cremonesi, Y. Koren, and R. Turrin. Performance of algorithms on top-n recommendation tasks. In Proc. RecSys '10, pages 39-46, 2010.
    • (2010) Proc. RecSys '10 , pp. 39-46
    • Cremonesi, P.1    Koren, Y.2    Turrin, R.3
  • 11
    • 63449114637 scopus 로고    scopus 로고
    • The value of personalised recommender systems to e-business: A case study
    • M. B. Dias, D. Locher, M. Li, W. El-Deredy, and P. J. Lisboa. The value of personalised recommender systems to e-business: A case study. In Proc. RecSys '08, pages 291-294, 2008.
    • (2008) Proc. RecSys '08 , pp. 291-294
    • Dias, M.B.1    Locher, D.2    Li, M.3    El-Deredy, W.4    Lisboa, P.J.5
  • 12
    • 84908879282 scopus 로고    scopus 로고
    • Context adaptation in interactive recommender systems
    • N. Hariri, B. Mobasher, and R. Burke. Context adaptation in interactive recommender systems. In Proc. RecSys '14, pages 41-48, 2014.
    • (2014) Proc. RecSys '14 , pp. 41-48
    • Hariri, N.1    Mobasher, B.2    Burke, R.3
  • 13
    • 3042697346 scopus 로고    scopus 로고
    • Evaluating collaborative filtering recommender systems
    • J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM TOIS, 22(1):5-53, 2004.
    • (2004) ACM TOIS , vol.22 , Issue.1 , pp. 5-53
    • Herlocker, J.L.1    Konstan, J.A.2    Terveen, L.G.3    Riedl, J.T.4
  • 14
    • 67049164166 scopus 로고    scopus 로고
    • Collaborative filtering for implicit feedback datasets
    • Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In Proc. ICDM '08, pages 263-272, 2008.
    • (2008) Proc. ICDM '08 , pp. 263-272
    • Hu, Y.1    Koren, Y.2    Volinsky, C.3
  • 15
    • 72249099866 scopus 로고    scopus 로고
    • A case study on the effectiveness of recommendations in the mobile internet
    • D. Jannach and K. Hegelich. A case study on the effectiveness of recommendations in the mobile internet. In Proc. RecSys '09, pages 205-208, 2009.
    • (2009) Proc. RecSys '09 , pp. 205-208
    • Jannach, D.1    Hegelich, K.2
  • 16
    • 84884473556 scopus 로고    scopus 로고
    • What recommenders recommend-an analysis of accuracy, popularity, and sales diversity effects
    • D. Jannach, L. Lerche, F. Gedikli, and G. Bonnin. What recommenders recommend-an analysis of accuracy, popularity, and sales diversity effects. In Proc. UMAP '13, pages 25-37, 2013.
    • (2013) Proc. UMAP '13 , pp. 25-37
    • Jannach, D.1    Lerche, L.2    Gedikli, F.3    Bonnin, G.4
  • 17
    • 84866011204 scopus 로고    scopus 로고
    • Recommender systems in computer science and information systems-A landscape of research
    • D. Jannach, M. Zanker, M. Ge, and M. Gröning. Recommender systems in computer science and information systems-a landscape of research. In Proc. EC-Web '12, pages 76-87, 2012.
    • (2012) Proc. EC-Web '12 , pp. 76-87
    • Jannach, D.1    Zanker, M.2    Ge, M.3    Gröning, M.4
  • 18
    • 84866850854 scopus 로고    scopus 로고
    • A live comparison of methods for personalized article recommendation at Forbes.com
    • E. Kirshenbaum, G. Forman, and M. Dugan. A live comparison of methods for personalized article recommendation at Forbes.com. In Proc. ECML/PKDD '12, pages 51-66, 2012.
    • (2012) Proc. ECML/PKDD '12 , pp. 51-66
    • Kirshenbaum, E.1    Forman, G.2    Dugan, M.3
  • 19
    • 70350647708 scopus 로고    scopus 로고
    • Collaborative filtering with temporal dynamics
    • Y. Koren. Collaborative filtering with temporal dynamics. In Proc. KDD '09, pages 447-456, 2009.
    • (2009) Proc. KDD '09 , pp. 447-456
    • Koren, Y.1
  • 20
    • 84908884893 scopus 로고    scopus 로고
    • Using graded implicit feedback for Bayesian personalized ranking
    • L. Lerche and D. Jannach. Using graded implicit feedback for bayesian personalized ranking. In Proc. RecSys '14, pages 353-356, 2014.
    • (2014) Proc. RecSys '14 , pp. 353-356
    • Lerche, L.1    Jannach, D.2
  • 21
    • 77951143278 scopus 로고    scopus 로고
    • Personalized news recommendation based on click behavior
    • J. Liu, P. Dolan, and E. R. Pedersen. Personalized news recommendation based on click behavior. In Proc. IUI '10, pages 31-40, 2010.
    • (2010) Proc. IUI '10 , pp. 31-40
    • Liu, J.1    Dolan, P.2    Pedersen, E.R.3
  • 22
    • 48949087562 scopus 로고    scopus 로고
    • Using sequential and non-sequential patterns in predictive web usage mining tasks
    • B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Using sequential and non-sequential patterns in predictive web usage mining tasks. In Proc. ICDM '02, pages 669-672, 2002.
    • (2002) Proc. ICDM '02 , pp. 669-672
    • Mobasher, B.1    Dai, H.2    Luo, T.3    Nakagawa, M.4
  • 23
    • 52149109771 scopus 로고    scopus 로고
    • Long-term and session-specific user preferences in a mobile recommender system
    • Q. N. Nguyen and F. Ricci. Long-term and session-specific user preferences in a mobile recommender system. In Proc. IUI '08, pages 381-384, 2008.
    • (2008) Proc. IUI '08 , pp. 381-384
    • Nguyen, Q.N.1    Ricci, F.2
  • 26
    • 77954599758 scopus 로고    scopus 로고
    • Factorizing personalized markov chains for next-basket recommendation
    • ACM
    • S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme. Factorizing personalized markov chains for next-basket recommendation. In Proc.WWW '10, pages 811-820. ACM, 2010.
    • (2010) Proc.WWW '10 , pp. 811-820
    • Rendle, S.1    Freudenthaler, C.2    Schmidt-Thieme, L.3
  • 27
    • 7044229422 scopus 로고    scopus 로고
    • Product recommendation with interactive query management and twofold similarity
    • F. Ricci, A. Venturini, D. Cavada, N. Mirzadeh, D. Blaas, and M. Nones. Product recommendation with interactive query management and twofold similarity. In Proc. ICCBR '03, pages 479-493, 2003.
    • (2003) Proc. ICCBR '03 , pp. 479-493
    • Ricci, F.1    Venturini, A.2    Cavada, D.3    Mirzadeh, N.4    Blaas, D.5    Nones, M.6
  • 29
    • 34648846575 scopus 로고    scopus 로고
    • What am i gonna wear?: Scenario-oriented recommendation
    • E. Shen, H. Lieberman, and F. Lam. What am I gonna wear?: Scenario-oriented recommendation. In Proc. IUI '07, pages 365-368, 2007.
    • (2007) Proc. IUI '07 , pp. 365-368
    • Shen, E.1    Lieberman, H.2    Lam, F.3
  • 30
    • 84887583343 scopus 로고    scopus 로고
    • XCLiMF: Optimizing expected reciprocal rank for data with multiple levels of relevance
    • Y. Shi, A. Karatzoglou, L. Baltrunas, M. Larson, and A. Hanjalic. xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. In Proc. RecSys '13, pages 431-434, 2013.
    • (2013) Proc. RecSys '13 , pp. 431-434
    • Shi, Y.1    Karatzoglou, A.2    Baltrunas, L.3    Larson, M.4    Hanjalic, A.5
  • 31
    • 84908893447 scopus 로고    scopus 로고
    • Factored MDPs for detecting topics of user sessions
    • M. Tavakol and U. Brefeld. Factored MDPs for detecting topics of user sessions. In Proc. RecSys '14, pages 33-40, 2014.
    • (2014) Proc. RecSys '14 , pp. 33-40
    • Tavakol, M.1    Brefeld, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.