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HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.

, , and . PAKDD (5), volume 14649 of Lecture Notes in Computer Science, page 131-143. Springer, (2024)

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Enhanced Item Recommendation with Auxiliary Information.. University of Hildesheim, Germany, (2023)Multi-step Forecasting via Multi-task Learning., , and . IEEE BigData, page 790-799. IEEE, (2019)Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings., , and . KDD, page 1132-1140. ACM, (2019)Attribute-aware non-linear co-embeddings of graph features., , and . RecSys, page 314-321. ACM, (2019)A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning., , and . SIGIR, page 605-613. ACM, (2021)MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems., , , and . RecSys, page 230-239. ACM, (2020)Context and Attribute-Aware Sequential Recommendation via Cross-Attention., , and . RecSys, page 71-80. ACM, (2022)Emotion Analysis Using Heart Rate Data., , , , and . DEXA Workshops, volume 1062 of Communications in Computer and Information Science, page 147-154. Springer, (2019)Learning attentive attribute-aware node embeddings in dynamic environments., , and . Int. J. Data Sci. Anal., 17 (2): 189-201 (March 2024)Multi-Label Network Classification via Weighted Personalized Factorizations., , and . ICAART (2), page 357-366. SciTePress, (2019)