A ctr prediction model based on session interest

HIGHLIGHTS

• who: Qianqian Wang and colleagues from the Women`s, Jinan, China, Normal, Jinan, ChinaShandong Women`s University High-level Scientific have published the research work: A CTR prediction model based on session interest, in the Journal: PLOS ONE of October/22,/2021
• what: The authors focus on user multiple session interest and propose a hierarchical model based on session interest (SIHM) for CTR prediction. The authors explore the impact of key parameters, which proves the validity of the SIHM model. The authors explore the value of u03b2 from 0.1 to 0.7.

 

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