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Disambiguation of "Newell, Chris"

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Explaining the user experience of recommender systems.

, , , , and . User Model. User-Adapt. Interact., 22 (4-5): 441-504 (2012)

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Martin Newell

Chris Paschold

Chris Neisse

Chris Protzel

Chris Fröhlich

 

Other publications of authors with the same name

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)Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task., , , and . PeerJ Comput. Sci., (2023)The Semantic Scholar Open Data Platform., , , , , , , , , and 38 other author(s). CoRR, (2023)Cosine Similarity of Multimodal Content Vectors for TV Programmes., , , and . CoRR, (2020)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)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)