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Visually-Aware Video Recommendation in the Cold Start.

, , , , и . HT, стр. 225-229. ACM, (2020)

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Farshad Mirhashemi

Farshad Foroozan

Abbas Farshad

Farhad Farshad

Farshad Forouzan

 

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EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk., и . Comput. Informatics, 37 (5): 1209-1230 (2018)Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities., , , и . Inf. Sci., (2013)Visually-Aware Video Recommendation in the Cold Start., , , , и . HT, стр. 225-229. ACM, (2020)Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches., , и . AIKE, стр. 46-53. IEEE, (2023)Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor., , , и . SEMANTiCS, том 53 из Studies on the Semantic Web, стр. 74-88. IOS Press, (2021)DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs., , и . ICSC, стр. 243-250. IEEE, (2022)How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?, , , , и . EC-Web, том 278 из Lecture Notes in Business Information Processing, стр. 34-45. (2016)Session-Based Hotel Recommendations: Challenges and Future Directions., , , , , , , и . CoRR, (2019)Exploring the Semantic Gap for Movie Recommendations., , , , , и . RecSys, стр. 326-330. ACM, (2017)Predicting Movie Popularity and Ratings with Visual Features., , , , и . SMAP, стр. 1-6. IEEE, (2019)