作者位次 #2/5SIGIR 2026Poster· Information Retrieval (Short)
HuffmanEmbed: Using Huffman Coding for Embedding Table Compression in Deep Learning Recommendation Models
Chaoyi Jiang · Abdulla Alshabanah · Hossein Entezari Zarch · Keshav Balasubramanian · Murali Annavaram
摘要
Deep Learning Recommendation Models (DLRMs) have become widely popular for click-through rate (CTR) prediction tasks. These models often rely on embedding tables to enhance their predictive performance. Each row in these tables represents a trainable weight vector associated with a specific featu...