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