Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining 2022
DOI: 10.1145/3488560.3498435
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Cited by 46 publications
(1 citation statement)
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“…• Different from the retrieval and the pre-ranking stage which usually takes billions or thousands of items into consideration, the ranking stage only needs to process hundreds of items. Therefore, the ranking models usually contain a large set of features describing the user, items, and context and use complicated architectures [1,11,18]. The ranking stage gives the predictions of different objectives by different ranking models.…”
Section: Multi-objective Ranking System With Cascade Architecturementioning
confidence: 99%
“…• Different from the retrieval and the pre-ranking stage which usually takes billions or thousands of items into consideration, the ranking stage only needs to process hundreds of items. Therefore, the ranking models usually contain a large set of features describing the user, items, and context and use complicated architectures [1,11,18]. The ranking stage gives the predictions of different objectives by different ranking models.…”
Section: Multi-objective Ranking System With Cascade Architecturementioning
confidence: 99%