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Manish Malik

SIGIR 2026×2效率与系统对齐与偏好可解释性检索与知识多模态
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0 一作 · 2 篇 · SIGIR 2026

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2026 顶会论文

2
作者位次 #17/18SIGIR 2026Poster· Information Retrieval (Industry)

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices

Clark Mingxuan Ju · Tong Zhao · Leonardo Neves · Liam Collins · Bhuvesh Kumar · Jiwen Ren · Lili Zhang · Wenfeng Zhuo · Wen Zhang · Xiao Bai · Jinchao Li · Karthik Iyer · Zihao Fan · Yilun Xu · Yiwen Chen · Peicheng Yu · Manish Malik · Neil Shah

摘要

Effective item identifiers (IDs) are an important component for recommender systems (RecSys) in practice, and are commonly adopted in many use cases such as retrieval and ranking. IDs can encode collaborative filtering signals within training data, such that RecSys models can extrapolate during t...

效率与系统对齐与偏好可解释性OpenReview
作者位次 #9/9SIGIR 2026Poster· Information Retrieval (Industry)

LLM-Enhanced Topical Trend Detection at Snapchat

Hangqi Zhao · Jay Li · Abhiruchi Bhattacharya · Cong Ni · Jason Yeung · Jinchao Ye · Kai Yang · Akshat Malu · Manish Malik

摘要

Automatic detection of topical trends at scale is both challenging and essential for maintaining a dynamic content ecosystem on social media platforms. In this work, we present a large-scale system for identifying emerging topical trends on Snapchat, one of the world's largest short-video social...

检索与知识多模态评测与基准OpenReview

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