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20242026
most citedUnconstrained Monotonic Calibration of Predictions in Deep Ranking Systems

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search

Guowen Li, Yuepeng Zhang, Shunyu Zhang +4

Large-scale short-video search ranking models are typically trained on sparse co-occurrence signals over hashed item identifiers (HIDs). While effective at memorizing frequent inte…

cs.IR2025★ 2 cited

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems

Yimeng Bai, Shunyu Zhang, Yang Zhang +5

Ranking models primarily focus on modeling the relative order of predictions while often neglecting the significance of the accuracy of their absolute values. However, accurate abs…

cs.IR2024

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search

Wentian Bao, Hu Liu, Kai Zheng +5

Personalized search has been extensively studied in various applications, including web search, e-commerce, social networks, etc. With the soaring popularity of short-video platfor…

cs.IR2024

A Self-boosted Framework for Calibrated Ranking

Shunyu Zhang, Hu Liu, Wentian Bao +2

Scale-calibrated ranking systems are ubiquitous in real-world applications nowadays, which pursue accurate ranking quality and calibrated probabilistic predictions simultaneously.…

cs.IR2024

TIM: Temporal Interaction Model in Notification System

Huxiao Ji, Haitao Yang, Linchuan Li +4

Modern mobile applications heavily rely on the notification system to acquire daily active users and enhance user engagement. Being able to proactively reach users, the system has…