Top-Personalized-K Recommendation
Author:
Affiliation:
1. Pohang University of Science and Technology, Pohang, Republic of Korea
2. University of Illinois at Urbana-Champaign, IL, USA
Funder
NRF, South Korea
IITP
NRF
MSIT
Ministry of Education, South Korea
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645417
Reference67 articles.
1. Ranking Interruptus
2. Avi Arampatzis Jaap Kamps and Stephen Robertson. 2009. Where to stop reading a ranked list? Threshold optimization using truncated score distributions. In SIGIR. 524--531.
3. Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, and Andrew Tomkins. 2020. Choppy: Cut transformer for ranked list truncation. In SIGIR. 1513--1516.
4. Patrick Billingsley. 2008. Probability and measure. John Wiley & Sons.
5. Andrei Broder Massimiliano Ciaramita Marcus Fontoura Evgeniy Gabrilovich Vanja Josifovski Donald Metzler Vanessa Murdock and Vassilis Plachouras. 2008. To swing or not to swing: learning when (not) to advertise. In CIKM. 1003--1012.
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1. Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random;Proceedings of the ACM Web Conference 2024;2024-05-13
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