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AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction.

, , , , , , , and . MDM, page 202-209. IEEE, (2020)

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Knowledge representation learning with entity descriptions, hierarchical types, and textual relations., , , and . Inf. Process. Manag., 56 (3): 809-822 (2019)Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives., , , , , , and . CoRR, (2023)AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction., , , , , , , and . MDM, page 202-209. IEEE, (2020)A Novel Email Virus Propagation Model with Local Group., , and . UIC/ATC/ScalCom, page 331-336. IEEE Computer Society, (2014)Delay Tolerant Routing for Cognitive Radio Vehicular Ad Hoc Networks., , and . ICPADS, page 24-31. IEEE Computer Society, (2016)Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation., , , , and . CoRR, (2024)Detecting Circles on Ego Network Based on Structure., , , and . CIS, page 213-217. IEEE Computer Society, (2014)RecDCL: Dual Contrastive Learning for Recommendation., , , , , , , , and . CoRR, (2024)Towards Automated Negative Sampling in Implicit Recommendation., , , , , and . CoRR, (2023)Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation., , , , , , and . DASFAA (4), volume 13946 of Lecture Notes in Computer Science, page 580-592. Springer, (2023)