Collaborative filtering (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Collaborative filtering" in English language version.

refsWebsite

Global rank English rank

18doi.org

2^nd place

13semanticscholar.org

11^th place

8^th place

7arxiv.org

69^th place

59^th place

4web.archive.org

1^st place

4psu.edu

207^th place

136^th place

3acm.org

1,185^th place

840^th place

2springer.com

274^th place

309^th place

2worldcat.org

5^th place

1unibz.it

low place

1grouplens.org

low place

1redbeemedia.com

low place

1pitt.edu

1,476^th place

1,056^th place

1hindawi.com

6,828^th place

low place

1handle.net

102^nd place

76^th place

1projecteuclid.org

3,707^th place

2,409^th place

1annualreviews.org

3,867^th place

3,957^th place

1harvard.edu

18^th place

17^th place

1readwriteweb.com

low place

1nyu.edu

1,174^th place

773^rd place

1ssrn.com

703^rd place

501^st place

acm.org

dl.acm.org

He, Xiangnan; Liao, Lizi; Zhang, Hanwang; Nie, Liqiang; Hu, Xia; Chua, Tat-Seng (2017). "Neural Collaborative Filtering". Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. pp. 173–182. arXiv:1708.05031. doi:10.1145/3038912.3052569. ISBN 9781450349130. S2CID 13907106. Retrieved 16 October 2019.
Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar (2019). "Are we really making much progress? A worrying analysis of recent neural recommendation approaches". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 9781450362436. S2CID 196831663. Retrieved 16 October 2019.
Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh WTF: The who-to-follow system at Twitter, Proceedings of the 22nd international conference on World Wide Web

annualreviews.org

Bi, Xuan; Tang, Xiwei; Yuan, Yubai; Zhang, Yanqing; Qu, Annie (2021). "Tensors in Statistics". Annual Review of Statistics and Its Application. 8 (1): annurev. Bibcode:2021AnRSA...842720B. doi:10.1146/annurev-statistics-042720-020816. S2CID 224956567.

arxiv.org

He, Xiangnan; Liao, Lizi; Zhang, Hanwang; Nie, Liqiang; Hu, Xia; Chua, Tat-Seng (2017). "Neural Collaborative Filtering". Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. pp. 173–182. arXiv:1708.05031. doi:10.1145/3038912.3052569. ISBN 9781450349130. S2CID 13907106. Retrieved 16 October 2019.
Liang, Dawen; Krishnan, Rahul G.; Hoffman, Matthew D.; Jebara, Tony (2018). "Variational Autoencoders for Collaborative Filtering". Proceedings of the 2018 World Wide Web Conference on World Wide Web – WWW '18. International World Wide Web Conferences Steering Committee. pp. 689–698. arXiv:1802.05814. doi:10.1145/3178876.3186150. ISBN 9781450356398.
Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar (2019). "Are we really making much progress? A worrying analysis of recent neural recommendation approaches". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 9781450362436. S2CID 196831663. Retrieved 16 October 2019.
Anelli, Vito Walter; Bellogin, Alejandro; Di Noia, Tommaso; Jannach, Dietmar; Pomo, Claudio (2022). "Top-N Recommendation Algorithms: A Quest for the State-of-the-Art". Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. ACM: 121–131. arXiv:2203.01155. doi:10.1145/3503252.3531292. ISBN 9781450392075. S2CID 247218662. Retrieved 1 March 2022.
Bi, Xuan; Qu, Annie; Shen, Xiaotong (2018). "Multilayer tensor factorization with applications to recommender systems". Annals of Statistics. 46 (6B): 3303–3333. arXiv:1711.01598. doi:10.1214/17-AOS1659. S2CID 13677707.
Zhang, Yanqing; Bi, Xuan; Tang, Niansheng; Qu, Annie (2020). "Dynamic tensor recommender systems". arXiv:2003.05568v1 [stat.ME].
Choi, Jeongwhan; Hong, Seoyong; Park, Noseong; Cho, Sung-Bae (2022). "Blurring-Sharpening Process Models for Collaborative Filtering". arXiv:2211.09324 [cs.IR].

doi.org

Ghazanfar, Mustansar Ali; Prügel-Bennett, Adam; Szedmak, Sandor (2012). "Kernel-Mapping Recommender system algorithms". Information Sciences. 208: 81–104. CiteSeerX 10.1.1.701.7729. doi:10.1016/j.ins.2012.04.012. S2CID 20328670.
Das, Abhinandan S.; Datar, Mayur; Garg, Ashutosh; Rajaram, Shyam (2007). "Google news personalization". Proceedings of the 16th international conference on World Wide Web – WWW '07. p. 271. doi:10.1145/1242572.1242610. ISBN 9781595936547. S2CID 207163129.
He, Xiangnan; Liao, Lizi; Zhang, Hanwang; Nie, Liqiang; Hu, Xia; Chua, Tat-Seng (2017). "Neural Collaborative Filtering". Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. pp. 173–182. arXiv:1708.05031. doi:10.1145/3038912.3052569. ISBN 9781450349130. S2CID 13907106. Retrieved 16 October 2019.
Liang, Dawen; Krishnan, Rahul G.; Hoffman, Matthew D.; Jebara, Tony (2018). "Variational Autoencoders for Collaborative Filtering". Proceedings of the 2018 World Wide Web Conference on World Wide Web – WWW '18. International World Wide Web Conferences Steering Committee. pp. 689–698. arXiv:1802.05814. doi:10.1145/3178876.3186150. ISBN 9781450356398.
Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar (2019). "Are we really making much progress? A worrying analysis of recent neural recommendation approaches". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 9781450362436. S2CID 196831663. Retrieved 16 October 2019.
Anelli, Vito Walter; Bellogin, Alejandro; Di Noia, Tommaso; Jannach, Dietmar; Pomo, Claudio (2022). "Top-N Recommendation Algorithms: A Quest for the State-of-the-Art". Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. ACM: 121–131. arXiv:2203.01155. doi:10.1145/3503252.3531292. ISBN 9781450392075. S2CID 247218662. Retrieved 1 March 2022.
Ludewig, Malte; Mauro, Noemi; Latifi, Sara; Jannach, Dietmar (2019). "Performance comparison of neural and non-neural approaches to session-based recommendation". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 462–466. doi:10.1145/3298689.3347041. ISBN 9781450362436.
Adomavicius, Gediminas; Tuzhilin, Alexander (1 January 2015). Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook. Springer US. pp. 191–226. doi:10.1007/978-1-4899-7637-6_6. ISBN 9781489976369.
Bi, Xuan; Qu, Annie; Shen, Xiaotong (2018). "Multilayer tensor factorization with applications to recommender systems". Annals of Statistics. 46 (6B): 3303–3333. arXiv:1711.01598. doi:10.1214/17-AOS1659. S2CID 13677707.
Bi, Xuan; Tang, Xiwei; Yuan, Yubai; Zhang, Yanqing; Qu, Annie (2021). "Tensors in Statistics". Annual Review of Statistics and Its Application. 8 (1): annurev. Bibcode:2021AnRSA...842720B. doi:10.1146/annurev-statistics-042720-020816. S2CID 224956567.
Fleder, Daniel; Hosanagar, Kartik (May 2009). "Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity". Management Science. 55 (5): 697–712. doi:10.1287/mnsc.1080.0974. SSRN 955984.
Castells, Pablo; Hurley, Neil J.; Vargas, Saúl (2015). "Novelty and Diversity in Recommender Systems". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (2 ed.). Springer US. pp. 881–918. doi:10.1007/978-1-4899-7637-6_26. ISBN 978-1-4899-7637-6.
Adamopoulos, Panagiotis; Tuzhilin, Alexander (January 2015). "On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected". ACM Transactions on Intelligent Systems and Technology. 5 (4): 1–32. doi:10.1145/2559952. S2CID 15282396.
Adamopoulos, Panagiotis (October 2013). "Beyond rating prediction accuracy". Proceedings of the 7th ACM conference on Recommender systems. pp. 459–462. doi:10.1145/2507157.2508073. ISBN 9781450324090. S2CID 1526264.
Chatzis, Sotirios (October 2013). "Nonparametric Bayesian multitask collaborative filtering". CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management. Portal.acm.org. pp. 2149–2158. doi:10.1145/2505515.2505517. ISBN 9781450322638. S2CID 10515301.
Mehta, Bhaskar; Hofmann, Thomas; Nejdl, Wolfgang (19 October 2007). Proceedings of the 2007 ACM conference on Recommender systems – Rec Sys '07. Portal.acm.org. p. 49. CiteSeerX 10.1.1.695.1712. doi:10.1145/1297231.1297240. ISBN 9781595937308. S2CID 5640125.
Shi, Yue; Larson, Martha; Hanjalic, Alan (2014). "Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges". ACM Computing Surveys. 47: 1–45. doi:10.1145/2556270. S2CID 5493334.
Symeonidis, Panagiotis; Nanopoulos, Alexandros; Manolopoulos, Yannis (2008). "Tag recommendations based on tensor dimensionality reduction". Proceedings of the 2008 ACM conference on Recommender systems. pp. 43–50. CiteSeerX 10.1.1.217.1437. doi:10.1145/1454008.1454017. ISBN 9781605580937. S2CID 17911131.

grouplens.org

Terveen, Loren; Hill, Will (2001). "Beyond Recommender Systems: Helping People Help Each Other" (PDF). Addison-Wesley. p. 6. Retrieved 16 January 2012.

handle.net

hdl.handle.net

Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar (2019). "Are we really making much progress? A worrying analysis of recent neural recommendation approaches". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 9781450362436. S2CID 196831663. Retrieved 16 October 2019.

harvard.edu

ui.adsabs.harvard.edu

Bi, Xuan; Tang, Xiwei; Yuan, Yubai; Zhang, Yanqing; Qu, Annie (2021). "Tensors in Statistics". Annual Review of Statistics and Its Application. 8 (1): annurev. Bibcode:2021AnRSA...842720B. doi:10.1146/annurev-statistics-042720-020816. S2CID 224956567.

hindawi.com

Xiaoyuan Su, Taghi M. Khoshgoftaar, A survey of collaborative filtering techniques, Advances in Artificial Intelligence archive, 2009.

nyu.edu

archive.nyu.edu

Fleder, Daniel; Hosanagar, Kartik (May 2009). "Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity". Management Science. 55 (5): 697–712. doi:10.1287/mnsc.1080.0974. SSRN 955984.

pitt.edu

uai.sis.pitt.edu

John S. Breese, David Heckerman, and Carl Kadie, Empirical Analysis of Predictive Algorithms for Collaborative Filtering, 1998 Archived 19 October 2013 at the Wayback Machine

projecteuclid.org

Bi, Xuan; Qu, Annie; Shen, Xiaotong (2018). "Multilayer tensor factorization with applications to recommender systems". Annals of Statistics. 46 (6B): 3303–3333. arXiv:1711.01598. doi:10.1214/17-AOS1659. S2CID 13677707.

psu.edu

citeseerx.ist.psu.edu

Ghazanfar, Mustansar Ali; Prügel-Bennett, Adam; Szedmak, Sandor (2012). "Kernel-Mapping Recommender system algorithms". Information Sciences. 208: 81–104. CiteSeerX 10.1.1.701.7729. doi:10.1016/j.ins.2012.04.012. S2CID 20328670.
Mehta, Bhaskar; Hofmann, Thomas; Nejdl, Wolfgang (19 October 2007). Proceedings of the 2007 ACM conference on Recommender systems – Rec Sys '07. Portal.acm.org. p. 49. CiteSeerX 10.1.1.695.1712. doi:10.1145/1297231.1297240. ISBN 9781595937308. S2CID 5640125.
Groh Georg; Ehmig Christian. Recommendations in taste related domains: collaborative filtering vs. social filtering. Proceedings of the 2007 international ACM conference on Supporting group work. pp. 127–136. CiteSeerX 10.1.1.165.3679.
Symeonidis, Panagiotis; Nanopoulos, Alexandros; Manolopoulos, Yannis (2008). "Tag recommendations based on tensor dimensionality reduction". Proceedings of the 2008 ACM conference on Recommender systems. pp. 43–50. CiteSeerX 10.1.1.217.1437. doi:10.1145/1454008.1454017. ISBN 9781605580937. S2CID 17911131.

readwriteweb.com

Collaborative Filtering: Lifeblood of The Social Web Archived 22 April 2012 at the Wayback Machine

redbeemedia.com

An integrated approach to TV & VOD Recommendations Archived 6 June 2012 at the Wayback Machine

semanticscholar.org

api.semanticscholar.org

Ghazanfar, Mustansar Ali; Prügel-Bennett, Adam; Szedmak, Sandor (2012). "Kernel-Mapping Recommender system algorithms". Information Sciences. 208: 81–104. CiteSeerX 10.1.1.701.7729. doi:10.1016/j.ins.2012.04.012. S2CID 20328670.
Das, Abhinandan S.; Datar, Mayur; Garg, Ashutosh; Rajaram, Shyam (2007). "Google news personalization". Proceedings of the 16th international conference on World Wide Web – WWW '07. p. 271. doi:10.1145/1242572.1242610. ISBN 9781595936547. S2CID 207163129.
He, Xiangnan; Liao, Lizi; Zhang, Hanwang; Nie, Liqiang; Hu, Xia; Chua, Tat-Seng (2017). "Neural Collaborative Filtering". Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. pp. 173–182. arXiv:1708.05031. doi:10.1145/3038912.3052569. ISBN 9781450349130. S2CID 13907106. Retrieved 16 October 2019.
Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar (2019). "Are we really making much progress? A worrying analysis of recent neural recommendation approaches". Proceedings of the 13th ACM Conference on Recommender Systems. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 9781450362436. S2CID 196831663. Retrieved 16 October 2019.
Anelli, Vito Walter; Bellogin, Alejandro; Di Noia, Tommaso; Jannach, Dietmar; Pomo, Claudio (2022). "Top-N Recommendation Algorithms: A Quest for the State-of-the-Art". Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. ACM: 121–131. arXiv:2203.01155. doi:10.1145/3503252.3531292. ISBN 9781450392075. S2CID 247218662. Retrieved 1 March 2022.
Bi, Xuan; Qu, Annie; Shen, Xiaotong (2018). "Multilayer tensor factorization with applications to recommender systems". Annals of Statistics. 46 (6B): 3303–3333. arXiv:1711.01598. doi:10.1214/17-AOS1659. S2CID 13677707.
Bi, Xuan; Tang, Xiwei; Yuan, Yubai; Zhang, Yanqing; Qu, Annie (2021). "Tensors in Statistics". Annual Review of Statistics and Its Application. 8 (1): annurev. Bibcode:2021AnRSA...842720B. doi:10.1146/annurev-statistics-042720-020816. S2CID 224956567.
Adamopoulos, Panagiotis; Tuzhilin, Alexander (January 2015). "On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected". ACM Transactions on Intelligent Systems and Technology. 5 (4): 1–32. doi:10.1145/2559952. S2CID 15282396.
Adamopoulos, Panagiotis (October 2013). "Beyond rating prediction accuracy". Proceedings of the 7th ACM conference on Recommender systems. pp. 459–462. doi:10.1145/2507157.2508073. ISBN 9781450324090. S2CID 1526264.
Chatzis, Sotirios (October 2013). "Nonparametric Bayesian multitask collaborative filtering". CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management. Portal.acm.org. pp. 2149–2158. doi:10.1145/2505515.2505517. ISBN 9781450322638. S2CID 10515301.
Mehta, Bhaskar; Hofmann, Thomas; Nejdl, Wolfgang (19 October 2007). Proceedings of the 2007 ACM conference on Recommender systems – Rec Sys '07. Portal.acm.org. p. 49. CiteSeerX 10.1.1.695.1712. doi:10.1145/1297231.1297240. ISBN 9781595937308. S2CID 5640125.
Shi, Yue; Larson, Martha; Hanjalic, Alan (2014). "Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges". ACM Computing Surveys. 47: 1–45. doi:10.1145/2556270. S2CID 5493334.
Symeonidis, Panagiotis; Nanopoulos, Alexandros; Manolopoulos, Yannis (2008). "Tag recommendations based on tensor dimensionality reduction". Proceedings of the 2008 ACM conference on Recommender systems. pp. 43–50. CiteSeerX 10.1.1.217.1437. doi:10.1145/1454008.1454017. ISBN 9781605580937. S2CID 17911131.

springer.com

Recommender Systems – The Textbook | Charu C. Aggarwal | Springer. Springer. 2016. ISBN 9783319296579.

link.springer.com

Castells, Pablo; Hurley, Neil J.; Vargas, Saúl (2015). "Novelty and Diversity in Recommender Systems". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (2 ed.). Springer US. pp. 881–918. doi:10.1007/978-1-4899-7637-6_26. ISBN 978-1-4899-7637-6.

ssrn.com

papers.ssrn.com

Fleder, Daniel; Hosanagar, Kartik (May 2009). "Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity". Management Science. 55 (5): 697–712. doi:10.1287/mnsc.1080.0974. SSRN 955984.

unibz.it

inf.unibz.it

Francesco Ricci and Lior Rokach and Bracha Shapira, Introduction to Recommender Systems Handbook Archived 2 June 2016 at the Wayback Machine, Recommender Systems Handbook, Springer, 2011, pp. 1–35

web.archive.org

Francesco Ricci and Lior Rokach and Bracha Shapira, Introduction to Recommender Systems Handbook Archived 2 June 2016 at the Wayback Machine, Recommender Systems Handbook, Springer, 2011, pp. 1–35
An integrated approach to TV & VOD Recommendations Archived 6 June 2012 at the Wayback Machine
John S. Breese, David Heckerman, and Carl Kadie, Empirical Analysis of Predictive Algorithms for Collaborative Filtering, 1998 Archived 19 October 2013 at the Wayback Machine
Collaborative Filtering: Lifeblood of The Social Web Archived 22 April 2012 at the Wayback Machine

worldcat.org

Gleick, James (2012). The information : a history, a theory, a flood (1st Vintage books ed., 2012 ed.). New York: Vintage Books. p. 410. ISBN 978-1-4000-9623-7. OCLC 745979816.

search.worldcat.org

Gleick, James (2012). The information : a history, a theory, a flood (1st Vintage books ed., 2012 ed.). New York: Vintage Books. p. 410. ISBN 978-1-4000-9623-7. OCLC 745979816.