Learning Product Rankings Robust to Fake Users
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Proceedings of the 22nd ACM Conference on Economics and Computation
2022
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| Online Access: | https://hdl.handle.net/1721.1/145944 |
| _version_ | 1826193836750143488 |
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| author | Golrezaei, Negin Manshadi, Vahideh Schneider, Jon Sekar, Shreyas |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Golrezaei, Negin Manshadi, Vahideh Schneider, Jon Sekar, Shreyas |
| author_sort | Golrezaei, Negin |
| collection | MIT |
| first_indexed | 2024-09-23T09:46:10Z |
| format | Article |
| id | mit-1721.1/145944 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:46:10Z |
| publishDate | 2022 |
| publisher | ACM|Proceedings of the 22nd ACM Conference on Economics and Computation |
| record_format | dspace |
| spelling | mit-1721.1/1459442023-01-18T20:55:27Z Learning Product Rankings Robust to Fake Users Golrezaei, Negin Manshadi, Vahideh Schneider, Jon Sekar, Shreyas Sloan School of Management 2022-10-24T13:02:42Z 2022-10-24T13:02:42Z 2021-07-18 2022-10-19T16:02:45Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-8554-1 https://hdl.handle.net/1721.1/145944 Golrezaei, Negin, Manshadi, Vahideh, Schneider, Jon and Sekar, Shreyas. 2021. "Learning Product Rankings Robust to Fake Users." PUBLISHER_POLICY en https://doi.org/10.1145/3465456.3467580 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|Proceedings of the 22nd ACM Conference on Economics and Computation ACM|Proceedings of the 22nd ACM Conference on Economics and Computation |
| spellingShingle | Golrezaei, Negin Manshadi, Vahideh Schneider, Jon Sekar, Shreyas Learning Product Rankings Robust to Fake Users |
| title | Learning Product Rankings Robust to Fake Users |
| title_full | Learning Product Rankings Robust to Fake Users |
| title_fullStr | Learning Product Rankings Robust to Fake Users |
| title_full_unstemmed | Learning Product Rankings Robust to Fake Users |
| title_short | Learning Product Rankings Robust to Fake Users |
| title_sort | learning product rankings robust to fake users |
| url | https://hdl.handle.net/1721.1/145944 |
| work_keys_str_mv | AT golrezaeinegin learningproductrankingsrobusttofakeusers AT manshadivahideh learningproductrankingsrobusttofakeusers AT schneiderjon learningproductrankingsrobusttofakeusers AT sekarshreyas learningproductrankingsrobusttofakeusers |