推薦系統 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "推薦系統" in Chinese language version.

refsWebsite

Global rank Chinese rank

15web.archive.org

1^st place

5doi.org

2^nd place

23^rd place

3acm.org

1,185^th place

809^th place

2linkedin.com

895^th place

1,486^th place

2docear.org

low place

2psu.edu

207^th place

628^th place

2springer.com

274^th place

320^th place

1time.com

61^st place

145^th place

1arxiv.org

69^th place

254^th place

1aaai.org

9,352^nd place

low place

1ijiet.org

low place

1prem-melville.com

low place

1unibz.it

low place

1researchgate.net

120^th place

337^th place

1tandfonline.com

507^th place

610^th place

1springerlink.com

2,569^th place

1,358^th place

1jscires.org

low place

aaai.org

Alexander Felfernig, Klaus Isak, Kalman Szabo, Peter Zachar, The VITA Financial Services Sales Support Environment （页面存档备份，存于互联网档案馆）, in AAAI/IAAI 2007, pp. 1692-1699, Vancouver, Canada, 2007.

acm.org

portal.acm.org

Adomavicius, G.; Tuzhilin, A. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering. June 2005, 17 (6): 734–749. doi:10.1109/TKDE.2005.99. .
Herlocker, J. L.; Konstan, J. A.; Terveen, L. G.; Riedl, J. T. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. January 2004, 22 (1): 5–53. doi:10.1145/963770.963772. .

dl.acm.org

Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh WTF:The who-to-follow system at Twitter （页面存档备份，存于互联网档案馆）, Proceedings of the 22nd international conference on World Wide Web

arxiv.org

H. Chen, A. G. Ororbia II, C. L. Giles ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries （页面存档备份，存于互联网档案馆）, in arXiv preprint 2015

docear.org

Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B. A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation (PDF). Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). October 2013 [2016-12-01]. （原始内容 (PDF)存档于2016-04-17）.
Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B.; Breitinger, C. Research Paper Recommender System Evaluation: A Quantitative Literature Survey (PDF). Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). October 2013 [2016-12-01]. （原始内容存档 (PDF)于2021-02-24）.

doi.org

Montaner, M.; Lopez, B.; de la Rosa, J. L. A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review. June 2003, 19 (4): 285–330. doi:10.1023/A:1022850703159. ^{[永久失效連結]}.
Adomavicius, G.; Tuzhilin, A. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering. June 2005, 17 (6): 734–749. doi:10.1109/TKDE.2005.99. .
Herlocker, J. L.; Konstan, J. A.; Terveen, L. G.; Riedl, J. T. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. January 2004, 22 (1): 5–53. doi:10.1145/963770.963772. .
Beel, J.; Gipp, B.; Langer, S.; Breitinger, C. Research Paper Recommender Systems: A Literature Survey. International Journal on Digital Libraries. 26 July 2015: 1–34 [2016-12-01]. doi:10.1007/s00799-015-0156-0. （原始内容存档于2021-03-07）.
Waila, P.; Singh, V.; Singh, M. A Scientometric Analysis of Research in Recommender Systems (PDF). Journal of Scientometric Research. 26 April 2016: 71–84 [2016-12-01]. doi:10.5530/jscires.5.1.10. （原始内容存档 (PDF)于2021-03-09）.

ijiet.org

Hosein Jafarkarimi; A.T.H. Sim and R. Saadatdoost A Naïve Recommendation Model for Large Databases （页面存档备份，存于互联网档案馆）, International Journal of Information and Education Technology, June 2012

jscires.org

Waila, P.; Singh, V.; Singh, M. A Scientometric Analysis of Research in Recommender Systems (PDF). Journal of Scientometric Research. 26 April 2016: 71–84 [2016-12-01]. doi:10.5530/jscires.5.1.10. （原始内容存档 (PDF)于2021-03-09）.

linkedin.com

Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain. Active Learning in Recommender Systems. Ricci, Francesco; Rokach, Lior; Shapira, Bracha (编). Recommender Systems Handbook 2. Springer US. 2016 [2016-12-01]. ISBN 978-1-4899-7637-6. （原始内容存档于2021-03-08）.
Elahi, Mehdi; Ricci, Francesco; Rubens, Neil. A survey of active learning in collaborative filtering recommender systems. Computer Science Review, 2016, Elsevier. [2016-12-01]. （原始内容存档于2021-03-08）.

prem-melville.com

Prem Melville and Vikas Sindhwani, Recommender Systems （页面存档备份，存于互联网档案馆）, Encyclopedia of Machine Learning, 2010.

psu.edu

citeseerx.ist.psu.edu

H. Chen, L. Gou, X. Zhang, C. Giles Collabseer: a search engine for collaboration discovery （页面存档备份，存于互联网档案馆）, in ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2011

citeseer.ist.psu.edu

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock. Methods and Metrics for Cold-Start Recommendations. Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002). New York City, New York: ACM: 253–260. 2002 [2008-02-02]. ISBN 1-58113-561-0. （原始内容存档于2008-02-07）.

researchgate.net

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil. A survey of active learning in collaborative filtering recommender systems. Computer Science Review, 2016, Elsevier. [2016-12-01]. （原始内容存档于2021-03-08）.

springer.com

rd.springer.com

Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain. Active Learning in Recommender Systems. Ricci, Francesco; Rokach, Lior; Shapira, Bracha (编). Recommender Systems Handbook 2. Springer US. 2016 [2016-12-01]. ISBN 978-1-4899-7637-6. （原始内容存档于2021-03-08）.

link.springer.com

Beel, J.; Gipp, B.; Langer, S.; Breitinger, C. Research Paper Recommender Systems: A Literature Survey. International Journal on Digital Libraries. 26 July 2015: 1–34 [2016-12-01]. doi:10.1007/s00799-015-0156-0. （原始内容存档于2021-03-07）.

springerlink.com

Montaner, M.; Lopez, B.; de la Rosa, J. L. A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review. June 2003, 19 (4): 285–330. doi:10.1023/A:1022850703159. ^{[永久失效連結]}.

tandfonline.com

amstat.tandfonline.com

Bi, Xuan; Qu, Annie; Wang, Junhui; Shen, Xiaotong. A group-specific recommender system.. Journal of the American Statistical Association. 2017, 112 (519): 1344–1353 [2020-10-07]. （原始内容存档于2021-04-14）.

time.com

Facebook, Pandora Lead Rise of Recommendation Engines - TIME. TIME.com. 27 May 2010 [1 June 2015]. （原始内容存档于2013-08-17）.

unibz.it

inf.unibz.it

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil. A survey of active learning in collaborative filtering recommender systems. Computer Science Review, 2016, Elsevier. [2016-12-01]. （原始内容存档于2021-03-08）.

web.archive.org

Facebook, Pandora Lead Rise of Recommendation Engines - TIME. TIME.com. 27 May 2010 [1 June 2015]. （原始内容存档于2013-08-17）.
H. Chen, A. G. Ororbia II, C. L. Giles ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries （页面存档备份，存于互联网档案馆）, in arXiv preprint 2015
H. Chen, L. Gou, X. Zhang, C. Giles Collabseer: a search engine for collaboration discovery （页面存档备份，存于互联网档案馆）, in ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2011
Alexander Felfernig, Klaus Isak, Kalman Szabo, Peter Zachar, The VITA Financial Services Sales Support Environment （页面存档备份，存于互联网档案馆）, in AAAI/IAAI 2007, pp. 1692-1699, Vancouver, Canada, 2007.
Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh WTF:The who-to-follow system at Twitter （页面存档备份，存于互联网档案馆）, Proceedings of the 22nd international conference on World Wide Web
Hosein Jafarkarimi; A.T.H. Sim and R. Saadatdoost A Naïve Recommendation Model for Large Databases （页面存档备份，存于互联网档案馆）, International Journal of Information and Education Technology, June 2012
Prem Melville and Vikas Sindhwani, Recommender Systems （页面存档备份，存于互联网档案馆）, Encyclopedia of Machine Learning, 2010.
Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain. Active Learning in Recommender Systems. Ricci, Francesco; Rokach, Lior; Shapira, Bracha (编). Recommender Systems Handbook 2. Springer US. 2016 [2016-12-01]. ISBN 978-1-4899-7637-6. （原始内容存档于2021-03-08）.
Elahi, Mehdi; Ricci, Francesco; Rubens, Neil. A survey of active learning in collaborative filtering recommender systems. Computer Science Review, 2016, Elsevier. [2016-12-01]. （原始内容存档于2021-03-08）.
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock. Methods and Metrics for Cold-Start Recommendations. Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002). New York City, New York: ACM: 253–260. 2002 [2008-02-02]. ISBN 1-58113-561-0. （原始内容存档于2008-02-07）.
Bi, Xuan; Qu, Annie; Wang, Junhui; Shen, Xiaotong. A group-specific recommender system.. Journal of the American Statistical Association. 2017, 112 (519): 1344–1353 [2020-10-07]. （原始内容存档于2021-04-14）.
Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B. A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation (PDF). Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). October 2013 [2016-12-01]. （原始内容 (PDF)存档于2016-04-17）.
Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B.; Breitinger, C. Research Paper Recommender System Evaluation: A Quantitative Literature Survey (PDF). Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). October 2013 [2016-12-01]. （原始内容存档 (PDF)于2021-02-24）.
Beel, J.; Gipp, B.; Langer, S.; Breitinger, C. Research Paper Recommender Systems: A Literature Survey. International Journal on Digital Libraries. 26 July 2015: 1–34 [2016-12-01]. doi:10.1007/s00799-015-0156-0. （原始内容存档于2021-03-07）.
Waila, P.; Singh, V.; Singh, M. A Scientometric Analysis of Research in Recommender Systems (PDF). Journal of Scientometric Research. 26 April 2016: 71–84 [2016-12-01]. doi:10.5530/jscires.5.1.10. （原始内容存档 (PDF)于2021-03-09）.