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20182025
most citedExplaining Latent Factor Models for Recommendation with Influence Functions

48 citations · 106 across the 11 of their papers we have counts for

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q-fin.ST2023★ 1 cited

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting

Lifan Zhao, Shuming Kong, Yanyan Shen

Stock trend forecasting is a fundamental task of quantitative investment where precise predictions of price trends are indispensable. As an online service, stock data continuously…