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Exploring demographic information in social media for product recommendation.

, , , , , and . Knowl. Inf. Syst., 49 (1): 61-89 (2016)

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Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation., , , , and . CIKM, page 2442-2451. ACM, (2023)A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation., , , and . CIKM, page 2923-2932. ACM, (2022)Supervised Hierarchical Cross-Modal Hashing., , , , , and . SIGIR, page 725-734. ACM, (2019)Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering., , , , and . AIRS, volume 9460 of Lecture Notes in Computer Science, page 304-316. Springer, (2015)Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction., , , and . IJCAI, page 3910-3916. IJCAI/AAAI Press, (2016)Improving Conversational Recommendation Systems via Counterfactual Data Simulation., , , , , , and . KDD, page 2398-2408. ACM, (2023)Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning., , , and . KDD, page 1929-1937. ACM, (2022)Group-Scheme: SIMD-based compression algorithms for web text data., , , and . IEEE BigData, page 525-530. IEEE Computer Society, (2013)Counterfactual Data-Augmented Sequential Recommendation., , , , , , and . SIGIR, page 347-356. ACM, (2021)Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network., , , , and . EMNLP/IJCNLP (1), page 4809-4819. Association for Computational Linguistics, (2019)