Recommender system (English Wikipedia)

Lathia, N., Hailes, S., Capra, L., Amatriain, X.: Temporal diversity in recommender systems^{[dead link]}. In: Proceedings of the 33rd International ACMSIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, pp. 210–217. ACM, New York

acm.org (Global: 1,200^th place; English: 821^st place)

dl.acm.org

Vente, Tobias; Ekstrand, Michael; Beel, Joeran (September 14, 2023). "Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit". Proceedings of the 17th ACM Conference on Recommender Systems. ACM. pp. 1212–1216. doi:10.1145/3604915.3610656. ISBN 979-8-4007-0241-9.
Zhao, Wayne Xin; Mu, Shanlei; Hou, Yupeng; Lin, Zihan; Chen, Yushuo; Pan, Xingyu; Li, Kaiyuan; Lu, Yujie; Wang, Hui; Tian, Changxin; Min, Yingqian; Feng, Zhichao; Fan, Xinyan; Chen, Xu; Wang, Pengfei (October 26, 2021). "RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms". Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM. pp. 4653–4664. arXiv:2011.01731. doi:10.1145/3459637.3482016. ISBN 978-1-4503-8446-9.
Li, Jiayu; Li, Hanyu; He, Zhiyu; Ma, Weizhi; Sun, Peijie; Zhang, Min; Ma, Shaoping (October 8, 2024). "ReChorus2.0: A Modular and Task-Flexible Recommendation Library". 18th ACM Conference on Recommender Systems. ACM. pp. 454–464. doi:10.1145/3640457.3688076. ISBN 979-8-4007-0505-2.
Michiels, Lien; Verachtert, Robin; Goethals, Bart (September 18, 2022). "RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data". Proceedings of the 16th ACM Conference on Recommender Systems. ACM. pp. 648–651. doi:10.1145/3523227.3551472. ISBN 978-1-4503-9278-5.
Zou, Lixin; Xia, Long; Ding, Zhuoye; Song, Jiaxing; Liu, Weidong; Yin, Dawei (2019). "Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '19. pp. 2810–2818. arXiv:1902.05570. doi:10.1145/3292500.3330668. ISBN 978-1-4503-6201-6. S2CID 62903207.
Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar (January 8, 2021). "A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research". ACM Transactions on Information Systems. 39 (2): 1–49. arXiv:1911.07698. doi:10.1145/3434185. hdl:11311/1164333. S2CID 208138060.
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. RecSys '19. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 978-1-4503-6243-6. S2CID 196831663. Retrieved October 16, 2019.
Sun, Zhu; Yu, Di; Fang, Hui; Yang, Jie; Qu, Xinghua; Zhang, Jie; Geng, Cong (2020). "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison". Fourteenth ACM Conference on Recommender Systems. ACM. pp. 23–32. doi:10.1145/3383313.3412489. ISBN 978-1-4503-7583-2. S2CID 221785064.
Volkovs, Maksims; Rai, Himanshu; Cheng, Zhaoyue; Wu, Ga; Lu, Yichao; Sanner, Scott (2018). "Two-stage Model for Automatic Playlist Continuation at Scale". Proceedings of the ACM Recommender Systems Challenge 2018. ACM. pp. 1–6. doi:10.1145/3267471.3267480. ISBN 978-1-4503-6586-4. S2CID 52942462.

portal.acm.org

Adomavicius, G.; Tuzhilin, A. (June 2005). "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. 17 (6): 734–749. Bibcode:2005IDSO...17..734A. CiteSeerX 10.1.1.107.2790. doi:10.1109/TKDE.2005.99. S2CID 206742345. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help).

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Adomavicius, G.; Tuzhilin, A. (June 2005). "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. 17 (6): 734–749. Bibcode:2005IDSO...17..734A. CiteSeerX 10.1.1.107.2790. doi:10.1109/TKDE.2005.99. S2CID 206742345. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help).
Lakiotaki, K.; Matsatsinis; Tsoukias, A (March 2011). "Multicriteria User Modeling in Recommender Systems". IEEE Intelligent Systems. 26 (2): 64–76. Bibcode:2011IISys..26b..64L. CiteSeerX 10.1.1.476.6726. doi:10.1109/mis.2011.33. S2CID 16752808. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Ricci F, Rokach L, Shapira B, Kantor BP (2011). Recommender systems handbook. pp. 1–35. Bibcode:2011rsh..book.....R.
Wu, L. (May 2023). "A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation". IEEE Transactions on Knowledge and Data Engineering. 35 (5): 4425–4445. arXiv:2104.13030. Bibcode:2023ITKDE..35.4425W. doi:10.1109/TKDE.2022.3145690.

ams.org (Global: 434^th place; English: 249^th place)

blogs.ams.org

Blanda, Stephanie (May 25, 2015). "Online Recommender Systems – How Does a Website Know What I Want?". American Mathematical Society. Retrieved October 31, 2016.

archive.org (Global: 6^th place; English: 6^th place)

Andrew I. Schein; Alexandrin Popescul; Lyle H. Ungar; David M. Pennock (2002). 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). ACM. pp. 253–260. ISBN 1-58113-561-0. Retrieved February 2, 2008.
Peter Brusilovsky (2007). The Adaptive Web. Springer. p. 325. ISBN 978-3-540-72078-2.
Jannach, Dietmar; Lerche, Lukas; Gedikli, Fatih; Bonnin, Geoffray (June 10, 2013). "What Recommenders Recommend – an Analysis of Accuracy, Popularity, and Sales Diversity Effects". In Carberry, Sandra; Weibelzahl, Stephan; Micarelli, Alessandro; Semeraro, Giovanni (eds.). User Modeling, Adaptation, and Personalization. Lecture Notes in Computer Science. Vol. 7899. Springer Berlin Heidelberg. pp. 25–37. CiteSeerX 10.1.1.465.96. doi:10.1007/978-3-642-38844-6_3. ISBN 978-3-642-38843-9. {{cite book}}: Cite uses deprecated parameter |citeseerx= (help)
Turpin, Andrew H.; Hersh, William (January 1, 2001). "Why batch and user evaluations do not give the same results". Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR '01. New York, NY, USA: ACM. pp. 225–231. CiteSeerX 10.1.1.165.5800. doi:10.1145/383952.383992. ISBN 978-1-58113-331-8. S2CID 18903114. {{cite book}}: Cite uses deprecated parameter |citeseerx= (help)
Naren Ramakrishnan; Benjamin J. Keller; Batul J. Mirza; Ananth Y. Grama; George Karypis (2001). "Privacy risks in recommender systems". IEEE Internet Computing. 5 (6). Piscataway, NJ: IEEE Educational Activities Department: 54–62. CiteSeerX 10.1.1.2.2932. doi:10.1109/4236.968832. ISBN 978-1-58113-561-9. S2CID 1977107. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)CS1 maint: periodical has ISBN (link)

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd place)

tel.archives-ouvertes.fr

Bouneffouf, Djallel (2013). DRARS, A Dynamic Risk-Aware Recommender System (Ph.D. thesis). Institut National des Télécommunications.

arxiv.org (Global: 49^th place; English: 31^st place)

Zhao, Wayne Xin; Mu, Shanlei; Hou, Yupeng; Lin, Zihan; Chen, Yushuo; Pan, Xingyu; Li, Kaiyuan; Lu, Yujie; Wang, Hui; Tian, Changxin; Min, Yingqian; Feng, Zhichao; Fan, Xinyan; Chen, Xu; Wang, Pengfei (October 26, 2021). "RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms". Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM. pp. 4653–4664. arXiv:2011.01731. doi:10.1145/3459637.3482016. ISBN 978-1-4503-8446-9.
John S. Breese; David Heckerman & Carl Kadie (1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence (UAI'98). arXiv:1301.7363.
Hidasi, Balázs; Karatzoglou, Alexandros; Baltrunas, Linas; Tikk, Domonkos (March 29, 2016). "Session-based Recommendations with Recurrent Neural Networks". arXiv:1511.06939 [cs.LG].
Chen, Minmin; Beutel, Alex; Covington, Paul; Jain, Sagar; Belletti, Francois; Chi, Ed (2018). "Top-K Off-Policy Correction for a REINFORCE Recommender System". arXiv:1812.02353 [cs.LG].
Hidasi, Balázs; Karatzoglou, Alexandros (October 17, 2018). "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". Proceedings of the 27th ACM International Conference on Information and Knowledge Management. CIKM '18. Torino, Italy: Association for Computing Machinery. pp. 843–852. arXiv:1706.03847. doi:10.1145/3269206.3271761. ISBN 978-1-4503-6014-2. S2CID 1159769.
Kang, Wang-Cheng; McAuley, Julian (2018). "Self-Attentive Sequential Recommendation". arXiv:1808.09781 [cs.IR].
Li, Jing; Ren, Pengjie; Chen, Zhumin; Ren, Zhaochun; Lian, Tao; Ma, Jun (November 6, 2017). "Neural Attentive Session-based Recommendation". Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. CIKM '17. Singapore, Singapore: Association for Computing Machinery. pp. 1419–1428. arXiv:1711.04725. doi:10.1145/3132847.3132926. ISBN 978-1-4503-4918-5. S2CID 21066930.
Xin, Xin; Karatzoglou, Alexandros; Arapakis, Ioannis; Jose, Joemon (2020). "Self-Supervised Reinforcement Learning for Recommender Systems". arXiv:2006.05779 [cs.LG].
Zou, Lixin; Xia, Long; Ding, Zhuoye; Song, Jiaxing; Liu, Weidong; Yin, Dawei (2019). "Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '19. pp. 2810–2818. arXiv:1902.05570. doi:10.1145/3292500.3330668. ISBN 978-1-4503-6201-6. S2CID 62903207.
Pimenidis, Elias; Polatidis, Nikolaos; Mouratidis, Haralambos (August 3, 2018). "Mobile recommender systems: Identifying the major concepts". Journal of Information Science. 45 (3): 387–397. arXiv:1805.02276. doi:10.1177/0165551518792213. S2CID 19209845.
Zhai, Jiaqi; Liao, Lucy; Liu, Xing; Wang, Yueming; Li, Rui; Cao, Xuan; Gao, Leon; Gong, Zhaojie; Gu, Fangda (May 6, 2024). "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations". arXiv:2402.17152 [cs.LG].
Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar (January 8, 2021). "A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research". ACM Transactions on Information Systems. 39 (2): 1–49. arXiv:1911.07698. doi:10.1145/3434185. hdl:11311/1164333. S2CID 208138060.
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. RecSys '19. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 978-1-4503-6243-6. S2CID 196831663. Retrieved October 16, 2019.
Rendle, Steffen; Krichene, Walid; Zhang, Li; Anderson, John (September 22, 2020). "Neural Collaborative Filtering vs. Matrix Factorization Revisited". Fourteenth ACM Conference on Recommender Systems. pp. 240–248. arXiv:2005.09683. doi:10.1145/3383313.3412488. ISBN 978-1-4503-7583-2.
Wu, L. (May 2023). "A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation". IEEE Transactions on Knowledge and Data Engineering. 35 (5): 4425–4445. arXiv:2104.13030. Bibcode:2023ITKDE..35.4425W. doi:10.1109/TKDE.2022.3145690.
Samek, W. (March 2021). "Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications". Proceedings of the IEEE. 109 (3): 247–278. arXiv:2003.07631. doi:10.1109/JPROC.2021.3060483.

boisestate.edu (Global: low place; English: low place)

scholarworks.boisestate.edu

Ekstrand, Michael (August 21, 2018). "The LKPY Package for Recommender Systems Experiments". Computer Science Faculty Publications and Presentations. Boise State University, ScholarWorks. doi:10.18122/cs_facpubs/147/boisestate.

books.google.com (Global: 3^rd place; English: 3^rd place)

Sanghack Lee and Jihoon Yang and Sung-Yong Park, Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem, Discovery Science, 2007.

cloud.google.com (Global: low place; English: 8,446^th place)

Google Cloud Blog. \"Scaling Deep Retrieval with Two-Tower Models.\" Published November 30, 2022. Accessed December 2024.

docear.org (Global: low place; English: low place)

Beel, J.; Genzmehr, M.; Gipp, B. (October 2013). "A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation" (PDF). Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. pp. 7–14. doi:10.1145/2532508.2532511. ISBN 978-1-4503-2465-6. S2CID 8202591. Archived from the original (PDF) on April 17, 2016. Retrieved October 22, 2013.
Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B.; Breitinger, C. (October 2013). "Research paper recommender system evaluation: A quantitative literature survey" (PDF). Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. pp. 15–22. doi:10.1145/2532508.2532512. ISBN 978-1-4503-2465-6. S2CID 4411601.
Joeran Beel; Stefan Langer; Marcel Genzmehr; Andreas Nürnberger (September 2013). "Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times" (PDF). In Trond Aalberg; Milena Dobreva; Christos Papatheodorou; Giannis Tsakonas; Charles Farrugia (eds.). Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013). Lecture Notes of Computer Science (LNCS). Vol. 8092. Springer. pp. 390–394. Retrieved November 1, 2013.
Joeran Beel; Stefan Langer; Andreas Nürnberger; Marcel Genzmehr (September 2013). "The Impact of Demographics (Age and Gender) and Other User Characteristics on Evaluating Recommender Systems" (PDF). In Trond Aalberg; Milena Dobreva; Christos Papatheodorou; Giannis Tsakonas; Charles Farrugia (eds.). Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013). Springer. pp. 400–404. Retrieved November 1, 2013.
Beel, Joeran, Langer, Stefan, Genzmehr, Marcel (September 2013). "Sponsored vs. Organic (Research Paper) Recommendations and the Impact of Labeling" (PDF). In Trond Aalberg, Milena Dobreva, Christos Papatheodorou, Giannis Tsakonas, Charles Farrugia (eds.). Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013). pp. 395–399. Retrieved December 2, 2013.

doi.org (Global: 2^nd place; English: 2^nd place)

Ricci, Francesco; Rokach, Lior; Shapira, Bracha (2022). "Recommender Systems: Techniques, Applications, and Challenges". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (3 ed.). New York: Springer. pp. 1–35. doi:10.1007/978-1-0716-2197-4_1. ISBN 978-1-0716-2196-7.
Roy, Deepjyoti; Dutta, Mala (2022). "A systematic review and research perspective on recommender systems". Journal of Big Data. 9 (59) 59. doi:10.1186/s40537-022-00592-5.
Gupta, Pankaj; Goel, Ashish; Lin, Jimmy; Sharma, Aneesh; Wang, Dong; Zadeh, Reza (2013). "WTF: the who to follow service at Twitter". Proceedings of the 22nd International Conference on World Wide Web. Association for Computing Machinery. pp. 505–514. doi:10.1145/2488388.2488433. ISBN 9781450320351.
Baran, Remigiusz; Dziech, Andrzej; Zeja, Andrzej (June 1, 2018). "A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment". Multimedia Tools and Applications. 77 (11): 14077–14091. doi:10.1007/s11042-017-5014-1. ISSN 1573-7721. S2CID 36511631.
jobs (September 3, 2014). "How to tame the flood of literature : Nature News & Comment". Nature. 513 (7516). Nature.com: 129–130. doi:10.1038/513129a. PMID 25186906. S2CID 4460749.
Melville, Prem; Sindhwani, Vikas (2010). "Recommender Systems" (PDF). In Claude Sammut; Geoffrey I. Webb (eds.). Encyclopedia of Machine Learning. Springer. pp. 829–838. doi:10.1007/978-0-387-30164-8_705. ISBN 978-0-387-30164-8.
Haupt, Jon (June 1, 2009). "Last.fm: People-Powered Online Radio". Music Reference Services Quarterly. 12 (1–2): 23–24. doi:10.1080/10588160902816702. ISSN 1058-8167. S2CID 161141937.
Chen, Hung-Hsuan; Chen, Pu (January 9, 2019). "Differentiating Regularization Weights -- A Simple Mechanism to Alleviate Cold Start in Recommender Systems". ACM Transactions on Knowledge Discovery from Data. 13: 1–22. doi:10.1145/3285954. S2CID 59337456.
Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain (2016). "Active Learning in Recommender Systems". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (2 ed.). Springer US. pp. 809–846. doi:10.1007/978-1-4899-7637-6_24. ISBN 978-1-4899-7637-6.
Bobadilla, J.; Ortega, F.; Hernando, A.; Alcalá, J. (2011). "Improving collaborative filtering recommender system results and performance using genetic algorithms". Knowledge-Based Systems. 24 (8): 1310–1316. doi:10.1016/j.knosys.2011.06.005.
Elahi, Mehdi; Ricci, Francesco; Rubens, Neil (2016). "A survey of active learning in collaborative filtering recommender systems". Computer Science Review. 20: 29–50. doi:10.1016/j.cosrev.2016.05.002.
Bi, Xuan; Qu, Annie; Wang, Junhui; Shen, Xiaotong (2017). "A group-specific recommender system" (PDF). Journal of the American Statistical Association. 112 (519): 1344–1353. doi:10.1080/01621459.2016.1219261. S2CID 125187672.
Ekstrand, Michael (August 21, 2018). "The LKPY Package for Recommender Systems Experiments". Computer Science Faculty Publications and Presentations. Boise State University, ScholarWorks. doi:10.18122/cs_facpubs/147/boisestate.
Vente, Tobias; Ekstrand, Michael; Beel, Joeran (September 14, 2023). "Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit". Proceedings of the 17th ACM Conference on Recommender Systems. ACM. pp. 1212–1216. doi:10.1145/3604915.3610656. ISBN 979-8-4007-0241-9.
Zhao, Wayne Xin; Mu, Shanlei; Hou, Yupeng; Lin, Zihan; Chen, Yushuo; Pan, Xingyu; Li, Kaiyuan; Lu, Yujie; Wang, Hui; Tian, Changxin; Min, Yingqian; Feng, Zhichao; Fan, Xinyan; Chen, Xu; Wang, Pengfei (October 26, 2021). "RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms". Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM. pp. 4653–4664. arXiv:2011.01731. doi:10.1145/3459637.3482016. ISBN 978-1-4503-8446-9.
Li, Jiayu; Li, Hanyu; He, Zhiyu; Ma, Weizhi; Sun, Peijie; Zhang, Min; Ma, Shaoping (October 8, 2024). "ReChorus2.0: A Modular and Task-Flexible Recommendation Library". 18th ACM Conference on Recommender Systems. ACM. pp. 454–464. doi:10.1145/3640457.3688076. ISBN 979-8-4007-0505-2.
Michiels, Lien; Verachtert, Robin; Goethals, Bart (September 18, 2022). "RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data". Proceedings of the 16th ACM Conference on Recommender Systems. ACM. pp. 648–651. doi:10.1145/3523227.3551472. ISBN 978-1-4503-9278-5.
Montaner, M.; Lopez, B.; de la Rosa, J. L. (June 2003). "A Taxonomy of Recommender Agents on the Internet". Artificial Intelligence Review. 19 (4): 285–330. doi:10.1023/A:1022850703159. S2CID 16544257..
Adomavicius, G.; Tuzhilin, A. (June 2005). "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. 17 (6): 734–749. Bibcode:2005IDSO...17..734A. CiteSeerX 10.1.1.107.2790. doi:10.1109/TKDE.2005.99. S2CID 206742345. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help).
Herlocker, J. L.; Konstan, J. A.; Terveen, L. G.; Riedl, J. T. (January 2004). "Evaluating collaborative filtering recommender systems". ACM Trans. Inf. Syst. 22 (1): 5–53. CiteSeerX 10.1.1.78.8384. doi:10.1145/963770.963772. S2CID 207731647. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help).
Beel, J.; Genzmehr, M.; Gipp, B. (October 2013). "A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation" (PDF). Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. pp. 7–14. doi:10.1145/2532508.2532511. ISBN 978-1-4503-2465-6. S2CID 8202591. Archived from the original (PDF) on April 17, 2016. Retrieved October 22, 2013.
Beel, J.; Langer, S.; Genzmehr, M.; Gipp, B.; Breitinger, C. (October 2013). "Research paper recommender system evaluation: A quantitative literature survey" (PDF). Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. pp. 15–22. doi:10.1145/2532508.2532512. ISBN 978-1-4503-2465-6. S2CID 4411601.
Beel, J.; Gipp, B.; Langer, S.; Breitinger, C. (July 26, 2015). "Research Paper Recommender Systems: A Literature Survey". International Journal on Digital Libraries. 17 (4): 305–338. doi:10.1007/s00799-015-0156-0. S2CID 207035184.
Felício, Crícia Z.; Paixão, Klérisson V.R.; Barcelos, Celia A.Z.; Preux, Philippe (July 9, 2017). "A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation". Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (PDF). UMAP '17. Bratislava, Slovakia: Association for Computing Machinery. pp. 32–40. doi:10.1145/3079628.3079681. ISBN 978-1-4503-4635-1. S2CID 653908.
Wang, Donghui; Liang, Yanchun; Xu, Dong; Feng, Xiaoyue; Guan, Renchu (2018). "A content-based recommender system for computer science publications". Knowledge-Based Systems. 157: 1–9. doi:10.1016/j.knosys.2018.05.001.
Gomez-Uribe, Carlos A.; Hunt, Neil (December 28, 2015). "The Netflix Recommender System". ACM Transactions on Management Information Systems. 6 (4): 1–19. doi:10.1145/2843948.
Yifei, Ma; Narayanaswamy, Balakrishnan; Haibin, Lin; Hao, Ding (2020). "Temporal-Contextual Recommendation in Real-Time". Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery. pp. 2291–2299. doi:10.1145/3394486.3403278. ISBN 978-1-4503-7998-4. S2CID 221191348.
Hidasi, Balázs; Karatzoglou, Alexandros (October 17, 2018). "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". Proceedings of the 27th ACM International Conference on Information and Knowledge Management. CIKM '18. Torino, Italy: Association for Computing Machinery. pp. 843–852. arXiv:1706.03847. doi:10.1145/3269206.3271761. ISBN 978-1-4503-6014-2. S2CID 1159769.
Li, Jing; Ren, Pengjie; Chen, Zhumin; Ren, Zhaochun; Lian, Tao; Ma, Jun (November 6, 2017). "Neural Attentive Session-based Recommendation". Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. CIKM '17. Singapore, Singapore: Association for Computing Machinery. pp. 1419–1428. arXiv:1711.04725. doi:10.1145/3132847.3132926. ISBN 978-1-4503-4918-5. S2CID 21066930.
Liu, Qiao; Zeng, Yifu; Mokhosi, Refuoe; Zhang, Haibin (July 19, 2018). "STAMP". Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '18. London, United Kingdom: Association for Computing Machinery. pp. 1831–1839. doi:10.1145/3219819.3219950. ISBN 978-1-4503-5552-0. S2CID 50775765.
Zou, Lixin; Xia, Long; Ding, Zhuoye; Song, Jiaxing; Liu, Weidong; Yin, Dawei (2019). "Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '19. pp. 2810–2818. arXiv:1902.05570. doi:10.1145/3292500.3330668. ISBN 978-1-4503-6201-6. S2CID 62903207.
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Beel, Joeran; Genzmehr, Marcel; Langer, Stefan; Nürnberger, Andreas; Gipp, Bela (January 1, 2013). "A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation". Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation. RepSys '13. New York, NY, USA: ACM. pp. 7–14. CiteSeerX 10.1.1.1031.973. doi:10.1145/2532508.2532511. ISBN 978-1-4503-2465-6. S2CID 8202591. {{cite book}}: Cite uses deprecated parameter |citeseerx= (help)
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Naren Ramakrishnan; Benjamin J. Keller; Batul J. Mirza; Ananth Y. Grama; George Karypis (2001). "Privacy risks in recommender systems". IEEE Internet Computing. 5 (6). Piscataway, NJ: IEEE Educational Activities Department: 54–62. CiteSeerX 10.1.1.2.2932. doi:10.1109/4236.968832. ISBN 978-1-58113-561-9. S2CID 1977107. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)CS1 maint: periodical has ISBN (link)
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Ferrari Dacrema, Maurizio; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar (January 8, 2021). "A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research". ACM Transactions on Information Systems. 39 (2): 1–49. arXiv:1911.07698. doi:10.1145/3434185. hdl:11311/1164333. S2CID 208138060.
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. RecSys '19. ACM. pp. 101–109. arXiv:1907.06902. doi:10.1145/3298689.3347058. hdl:11311/1108996. ISBN 978-1-4503-6243-6. S2CID 196831663. Retrieved October 16, 2019.
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Volkovs, Maksims; Rai, Himanshu; Cheng, Zhaoyue; Wu, Ga; Lu, Yichao; Sanner, Scott (2018). "Two-stage Model for Automatic Playlist Continuation at Scale". Proceedings of the ACM Recommender Systems Challenge 2018. ACM. pp. 1–6. doi:10.1145/3267471.3267480. ISBN 978-1-4503-6586-4. S2CID 52942462.
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pdfs.semanticscholar.org

Cosley, D.; Lam, S.K.; Albert, I.; Konstan, J.A.; Riedl, J (2003). "Is seeing believing?: how recommender system interfaces affect users' opinions" (PDF). Proceedings of the SIGCHI conference on Human factors in computing systems. pp. 585–592. S2CID 8307833.

servethehome.com (Global: low place; English: low place)

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slideshare.net (Global: 2,941^st place; English: 3,213^th place)

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springer.com (Global: 182^nd place; English: 172^nd place)

link.springer.com

Ricci, Francesco; Rokach, Lior; Shapira, Bracha (2022). "Recommender Systems: Techniques, Applications, and Challenges". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (3 ed.). New York: Springer. pp. 1–35. doi:10.1007/978-1-0716-2197-4_1. ISBN 978-1-0716-2196-7.
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Konstan JA, Riedl J (2012). "Recommender systems: from algorithms to user experience" (PDF). User Modeling and User-Adapted Interaction. 22 (1–2): 1–23. doi:10.1007/s11257-011-9112-x. S2CID 8996665.

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Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain (2016). "Active Learning in Recommender Systems". In Ricci, Francesco; Rokach, Lior; Shapira, Bracha (eds.). Recommender Systems Handbook (2 ed.). Springer US. pp. 809–846. doi:10.1007/978-1-4899-7637-6_24. ISBN 978-1-4899-7637-6.

storage.googleapis.com (Global: 4,648^th place; English: 2,969^th place)

patentimages.storage.googleapis.com

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tandfonline.com (Global: 286^th place; English: 209^th place)

Möller, Judith; Trilling, Damian; Helberger, Natali; van Es, Bram (July 3, 2018). "Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity". Information, Communication & Society. 21 (7): 959–977. doi:10.1080/1369118X.2018.1444076. hdl:11245.1/4242e2e0-3beb-40a0-a6cb-d8947a13efb4. ISSN 1369-118X. S2CID 149344712.

techpolicy.press (Global: low place; English: low place)

Bengani, Jonathan Stray, Luke Thorburn, Priyanjana (October 16, 2023). "What's the Difference Between Search and Recommendation? | TechPolicy.Press". Tech Policy Press. Retrieved June 3, 2025.{{cite web}}: CS1 maint: multiple names: authors list (link)

time.com (Global: 84^th place; English: 63^rd place)

Lev Grossman (May 27, 2010). "How Computers Know What We Want — Before We Do". TIME. Archived from the original on May 30, 2010. Retrieved June 1, 2015.

tuwien.ac.at (Global: low place; English: low place)

web.ec.tuwien.ac.at

Schifferer, Benedikt; Deotte, Chris; Puget, Jean-François; de Souza Pereira, Gabriel; Titericz, Gilberto; Liu, Jiwei; Ak, Ronay. "Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations" (PDF). WSDM '21: ACM Conference on Web Search and Data Mining. ACM. Archived from the original (PDF) on March 25, 2021. Retrieved April 3, 2021.

ualberta.ca (Global: 3,255^th place; English: 2,085^th place)

sites.ualberta.ca

Resnick, Paul, Neophytos Iacovou, Mitesh Suchak, Peter Bergström, and John Riedl. "GroupLens: an open architecture for collaborative filtering of netnews." In Proceedings of the 1994 ACM conference on Computer supported cooperative work, pp. 175–186. ACM, 1994.

uam.es (Global: 8,724^th place; English: low place)

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Cañamares, Rocío; Castells, Pablo (July 2018). Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems (PDF). 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). Ann Arbor, Michigan, USA: ACM. pp. 415–424. doi:10.1145/3209978.3210014. Archived from the original (PDF) on April 14, 2021. Retrieved March 5, 2021.
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umn.edu (Global: 1,293^rd place; English: 776^th place)

glaros.dtc.umn.edu

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warwick.ac.uk (Global: 4,192^nd place; English: 2,461^st place)

dcs.warwick.ac.uk

Robin Burke, Hybrid Web Recommender Systems Archived 2014-09-12 at the Wayback Machine, pp. 377-408, The Adaptive Web, Peter Brusilovsky, Alfred Kobsa, Wolfgang Nejdl (Ed.), Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, Lecture Notes in Computer Science, Vol. 4321, May 2007, 978-3-540-72078-2.

web.archive.org (Global: 1^st place; English: 1^st place)

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Sarwar, B.; Karypis, G.; Konstan, J.; Riedl, J. (2000). "Application of Dimensionality Reduction in Recommender System A Case Study". Archived from the original on January 14, 2019. Retrieved January 29, 2008.,
Robin Burke, Hybrid Web Recommender Systems Archived 2014-09-12 at the Wayback Machine, pp. 377-408, The Adaptive Web, Peter Brusilovsky, Alfred Kobsa, Wolfgang Nejdl (Ed.), Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, Lecture Notes in Computer Science, Vol. 4321, May 2007, 978-3-540-72078-2.
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Schifferer, Benedikt; Deotte, Chris; Puget, Jean-François; de Souza Pereira, Gabriel; Titericz, Gilberto; Liu, Jiwei; Ak, Ronay. "Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations" (PDF). WSDM '21: ACM Conference on Web Search and Data Mining. ACM. Archived from the original (PDF) on March 25, 2021. Retrieved April 3, 2021.

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worldcat.org (Global: 4^th place; English: 4^th place)

search.worldcat.org

Baran, Remigiusz; Dziech, Andrzej; Zeja, Andrzej (June 1, 2018). "A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment". Multimedia Tools and Applications. 77 (11): 14077–14091. doi:10.1007/s11042-017-5014-1. ISSN 1573-7721. S2CID 36511631.
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Breitinger, Corinna; Langer, Stefan; Lommatzsch, Andreas; Gipp, Bela (March 12, 2016). "Towards reproducibility in recommender-systems research". User Modeling and User-Adapted Interaction. 26 (1): 69–101. doi:10.1007/s11257-016-9174-x. ISSN 0924-1868. S2CID 388764.

Recommender system (English Wikipedia)

academia.edu (Global: 105th place; English: 99th place)

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techpolicy.press (Global: low place; English: low place)

time.com (Global: 84th place; English: 63rd place)

tuwien.ac.at (Global: low place; English: low place)

web.ec.tuwien.ac.at

ualberta.ca (Global: 3,255th place; English: 2,085th place)

sites.ualberta.ca

uam.es (Global: 8,724th place; English: low place)

ir.ii.uam.es

umn.edu (Global: 1,293rd place; English: 776th place)

glaros.dtc.umn.edu

ids.csom.umn.edu

unibz.it (Global: low place; English: low place)

bia.unibz.it

warwick.ac.uk (Global: 4,192nd place; English: 2,461st place)

dcs.warwick.ac.uk

web.archive.org (Global: 1st place; English: 1st place)

wired.com (Global: 254th place; English: 178th place)

academia.edu (Global: 105^th place; English: 99^th place)

acm.org (Global: 1,200^th place; English: 821^st place)

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ams.org (Global: 434^th place; English: 249^th place)

archive.org (Global: 6^th place; English: 6^th place)

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd place)

arxiv.org (Global: 49^th place; English: 31^st place)

books.google.com (Global: 3^rd place; English: 3^rd place)

cloud.google.com (Global: low place; English: 8,446^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

figshare.com (Global: 3,822^nd place; English: 2,289^th place)

github.com (Global: 380^th place; English: 337^th place)

hdl.handle.net (Global: 66^th place; English: 34^th place)

index.hu (Global: 1,250^th place; English: 3,499^th place)

inria.fr (Global: 6,372^nd place; English: 5,582^nd place)

nbn-resolving.de (Global: 1,834^th place; English: 8,390^th place)

netflix.com (Global: 553^rd place; English: 469^th place)

nih.gov (Global: 5^th place; English: 5^th place)

nytimes.com (Global: 7^th place; English: 7^th place)

patents.google.com (Global: 1,154^th place; English: 606^th place)

psu.edu (Global: 299^th place; English: 159^th place)

rero.ch (Global: 3,023^rd place; English: 2,092^nd place)

researchgate.net (Global: 96^th place; English: 89^th place)

rutgers.edu (Global: 2,011^th place; English: 1,139^th place)

semanticscholar.org (Global: 15^th place; English: 8^th place)

slideshare.net (Global: 2,941^st place; English: 3,213^th place)

springer.com (Global: 182^nd place; English: 172^nd place)

storage.googleapis.com (Global: 4,648^th place; English: 2,969^th place)

tandfonline.com (Global: 286^th place; English: 209^th place)

time.com (Global: 84^th place; English: 63^rd place)

ualberta.ca (Global: 3,255^th place; English: 2,085^th place)

uam.es (Global: 8,724^th place; English: low place)

umn.edu (Global: 1,293^rd place; English: 776^th place)

warwick.ac.uk (Global: 4,192^nd place; English: 2,461^st place)

web.archive.org (Global: 1^st place; English: 1^st place)

wired.com (Global: 254^th place; English: 178^th place)

worldcat.org (Global: 4^th place; English: 4^th place)