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Will recommenders kill search?: recommender systems - an industry perspective

Published: 26 September 2010 Publication History

Abstract

At the 2010 annual ACM Conference on Recommender Systems (RecSys 2010) a panel addressed emerging topics regarding recommender systems as a whole and specifically their role in industry. This report summarizes answers from a distinguished group of industry leaders representing different industries in which recommender systems are highly relevant. Panel members discuss questions regarding the role of recommender systems in their own industry area, killer applications, opportunities, and future directions.

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Panel presentations (recsys2010-27092010-01-01.mov)

References

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]]Goldberg, D., Nichols, D., Oki, B. M., and Terry, D. 1992. Using Collaborative Filtering to Weave an Information Tapestry. Commun. ACM 35, 12 (Dec. 1992), 61--70.
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]]Guy, I., Chen, L., and Zhou, M. X. 2010. Workshop on social recommender systems. Proc. IUI '10, 433--434.
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]]Kautz, H., Selman, B., and Shah, M. 1997. Referral Web: combining social networks and collaborative filtering. Commun. ACM 40, 3 (Mar. 1997), 63--65.
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]]Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R., and Riedl, J. 1997. GroupLens: applying collaborative filtering to Usenet news. Commun. ACM 40, 3 (Mar. 1997), 77--87.
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  1. Will recommenders kill search?: recommender systems - an industry perspective

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      cover image ACM Conferences
      RecSys '10: Proceedings of the fourth ACM conference on Recommender systems
      September 2010
      402 pages
      ISBN:9781605589060
      DOI:10.1145/1864708
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 26 September 2010

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      Author Tags

      1. collaborative filtering
      2. industry
      3. recommender systems
      4. search

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      RecSys '10
      Sponsor:
      RecSys '10: Fourth ACM Conference on Recommender Systems
      September 26 - 30, 2010
      Barcelona, Spain

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      Overall Acceptance Rate 254 of 1,295 submissions, 20%

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      Cited By

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      • (2024)An Edge Artificial Intelligence Federated Recommender System for Virtual ClassroomsModel Optimization Methods for Efficient and Edge AI10.1002/9781394219230.ch17(341-349)Online publication date: 22-Nov-2024
      • (2021)Recommender System: Personalizing User Experience or Scientifically Deceiving Users?Proceedings of the 2021 5th International Conference on Information System and Data Mining10.1145/3471287.3471303(138-144)Online publication date: 27-May-2021
      • (2019)SamWalker: Social Recommendation with Informative Sampling StrategyThe World Wide Web Conference10.1145/3308558.3313582(228-239)Online publication date: 13-May-2019
      • (2018)Connecting sellers and buyers on the world's largest inventoryProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241733(490-491)Online publication date: 27-Sep-2018
      • (2018)An Incremental Collaborative Filtering Based Recommendation Framework for Personalized Websites2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00041(181-186)Online publication date: Aug-2018
      • (2018)An intelligent approach to design of E-Commerce metasearch and ranking system using next-generation big data analyticsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.02.015Online publication date: Mar-2018
      • (2018)People Recommendation on Social MediaSocial Information Access10.1007/978-3-319-90092-6_15(570-623)Online publication date: 3-May-2018
      • (2015)TapTellJournal of Visual Communication and Image Representation10.1016/j.jvcir.2015.02.00729:C(114-124)Online publication date: 1-May-2015
      • (2015)A study of the dynamic features of recommender systemsArtificial Intelligence Review10.1007/s10462-012-9359-643:1(141-153)Online publication date: 1-Jan-2015
      • (2014)Collaborative Filtering beyond the User-Item MatrixACM Computing Surveys10.1145/255627047:1(1-45)Online publication date: 1-May-2014
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