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Design and evaluation of a client-side recommender system.

, и . RecSys, стр. 473-474. ACM, (2013)

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Martin Newell

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The Semantic Scholar Open Data Platform., , , , , , , , , и 38 other автор(ы). CoRR, (2023)Audiovisual, Genre, Neural and Topical Textual Embeddings for TV Programme Content Representation., , , и . ISM, стр. 197-200. IEEE, (2020)Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation., , , и . ICME, стр. 1086-1091. IEEE, (2023)When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation., , , и . LREC/COLING, стр. 17525-17536. ELRA and ICCL, (2024)Enhancing Personalised Recommendations with the Use of Multimodal Information., , и . ISM, стр. 186-190. IEEE, (2021)Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks., , , и . RecSys, стр. 163-170. ACM, (2015)Semantic and Lexical Token Based Vectors Improve Precision of Recommendations for TV Programmes., , , , и . ISM, стр. 287-290. IEEE, (2023)Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation., , , и . RANLP, стр. 408-418. INCOMA Ltd., Shoumen, Bulgaria, (2023)Design and evaluation of a client-side recommender system., и . RecSys, стр. 473-474. ACM, (2013)Multimodal Topic Segmentation of Podcast Shows with Pre-trained Neural Encoders., , , и . ICMR, стр. 602-606. ACM, (2023)