2 papers
cs.IR2026
Compress, Cross and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems
Heng Yu, Xiangjun Zhou, Jie Xia +4
Modeling high-order feature interactions efficiently is a central challenge in click-through rate and conversion rate prediction. Modern industrial recommender systems are predomin…
cs.IR2025
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Ashirbad Mishra, Soumik Dey, Marshall Wu +5
Online sellers and advertisers are recommended keyphrases for their listed products, which they bid on to enhance their sales. One popular paradigm that generates such recommendati…