Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3036164
Abstract: Click-through rate (CTR) prediction is the core task in an online advertising system. How to capture the users’ dynamic interests through the behavior sequences to predict CTR is a challenging problem in the real-world applications.… read more here.
Keywords: dynamic interest; global sessions; deep dynamic; click rate ... See more keywords
A High-Performance FPGA PRNG Based on Multiple Deep-Dynamic Transformations
Sign Up to like & getrecommendations! Published in 2024 at "Entropy"
DOI: 10.3390/e26080671
Abstract: Pseudo-random number generators (PRNGs) are important cornerstones of many fields, such as statistical analysis and cryptography, and the need for PRNGs for information security (in fields such as blockchain, big data, and artificial intelligence) is… read more here.
Keywords: prng; multiple deep; performance; fpga ... See more keywords