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What You Pay for Is What You Get., , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 395-409. Springer, (2013)The Price Is Right - Models and Algorithms for Pricing Data., , , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 380-394. Springer, (2013)An Efficient Conditioning Method for Probabilistic Relational Databases., , , , and . WAIM, volume 8485 of Lecture Notes in Computer Science, page 225-236. Springer, (2014)Learning to Retrieve User Behaviors for Click-through Rate Estimation., , , , , , , , , and . ACM Trans. Inf. Syst., 41 (4): 98:1-98:31 (October 2023)Edit Distance between XML and Probabilistic XML Documents., , , and . DEXA (1), volume 6860 of Lecture Notes in Computer Science, page 448-456. Springer, (2011)User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation., , , , , , and . WSDM, page 266-275. ACM, (2024)D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations., , , , , , and . AAAI, page 8553-8561. AAAI Press, (2024)Deep Learning for Click-Through Rate Estimation., , , , and . IJCAI, page 4695-4703. ijcai.org, (2021)Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning., , , , , and . PAKDD (1), volume 12084 of Lecture Notes in Computer Science, page 155-167. Springer, (2020)Personalized Diversification for Neural Re-ranking in Recommendation., , , , , , , and . ICDE, page 802-815. IEEE, (2023)