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Incorporating Contextual Information into a Mobile Advertisement Recommender System.

, , , , and . APWeb, volume 9313 of Lecture Notes in Computer Science, page 879-882. Springer, (2015)

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Stock Technical Analysis System Based on Real-Time Stream Processing., , , , and . ISCID (2), page 373-377. IEEE, (2017)Locality sensitive hashing revisited: filling the gap between theory and algorithm analysis., , , and . CIKM, page 1969-1978. ACM, (2013)ENRS: An Effective Recommender System Using Bayesian Model., , , , and . DASFAA (2), volume 9050 of Lecture Notes in Computer Science, page 531-535. Springer, (2015)Deep Semantic Adversarial Hashing Based on Autoencoder for Large-Scale Cross-Modal Retrieval., and . ICME Workshops, page 1-6. IEEE, (2020)SETJoin: a novel top-k similarity join algorithm., , and . Soft Comput., 24 (19): 14577-14592 (2020)A feature interaction learning approach for crowdfunding project recommendation., , , , and . Appl. Soft Comput., (2021)Approximate Nearest Neighbor Search Using Query-Directed Dense Graph., , , , and . DASFAA (Workshops), volume 12680 of Lecture Notes in Computer Science, page 429-444. Springer, (2021)DASH: Data Aware Locality Sensitive Hashing., , , and . APWeb/WAIM (2), volume 13422 of Lecture Notes in Computer Science, page 85-100. Springer, (2022)Hyperbolic Utilization Bounds for Rate Monotonic Scheduling on Homogeneous Multiprocessors., , , , and . IEEE Trans. Parallel Distributed Syst., 25 (6): 1510-1521 (2014)A Unified Framework for Processing Exact and Approximate Top-k Set Similarity Join., , , and . APWeb/WAIM (2), volume 12318 of Lecture Notes in Computer Science, page 425-440. Springer, (2020)