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1GitHub - w5688414/deep-learning-for-tag-recommendation: this is the collection for the papers and codes for tag/hashtag recommendation
https://github.com/w5688414/deep-learning-for-tag-recommendation
5 years ago by @nosebrain
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1Performance Evaluation for Learning Algorithms
http://www.site.uottawa.ca/~nat/Talks/ICMLA-Tutorial.pptx
7 years ago by @becker
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classification
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1Evaluating Learning Algorithms: A Classification Perspective: Amazon.de: Nathalie Japkowicz: Fremdsprachige Bücher
https://www.amazon.de/Evaluating-Learning-Algorithms-Classification-Perspective/dp/1107653118
7 years ago by @becker
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5APOSDLE learn@work
http://www.aposdle.tugraz.at/
16 years ago by @kochm
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1BellKor Home Page
http://www.research.att.com/~volinsky/netflix/
17 years ago by @cddb
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2Knowledge graph contrastive learning for recommendation
Y. Yang, C. Huang, L. Xia, and C. Li. Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, page 1434--1443. (2022)
4 months ago by @jannaom
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, and A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (Jan 1, 2020)
8 months ago by @sop2-ffzg
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, and A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (Jan 1, 2020)
8 months ago by @kamber
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ArtificialAuto-classificationContextualDistributedEmotionalGenreLast.fmMachineMeta-classifiersMulti-agentMulti-classificationMulti-labelMusicPerformanceSingle-labelSocialTwitteranalysisclassificationevaluationinformationintelligencelearningnetworksprocessingrecommendationsystems
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4Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
N. Wang, H. Wang, Y. Jia, and Y. Yin. The 41st International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, page 165--174. New York, NY, USA, ACM, (2018)
6 years ago by @nosebrain
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3A Reinforcement Learning Framework for Explainable Recommendation
X. Wang, Y. Chen, J. Yang, L. Wu, Z. Wu, and X. Xie. 2018 IEEE International Conference on Data Mining (ICDM), page 587-596. (November 2018)
6 years ago by @nosebrain
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2Multi-Pointer Co-Attention Networks for Recommendation.
Y. Tay, A. Luu, and S. Hui. KDD, page 2309-2318. ACM, (2018)
6 years ago by @nosebrain
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attention
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1Survey on Kernel Optimization based Enhanced Preference Learning for Online Movie Recommendation
S. N. International Journal of Trend in Scientific Research and Development, 2 (3): 1835-1842 (April 2018)
6 years ago by @ijtsrd
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1A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation.
S. Canuto, F. Belém, J. Almeida, and M. Gonçalves. JIDM, 4 (3): 453-468 (2013)
6 years ago by @nosebrain
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8Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.
M. Quadrana, A. Karatzoglou, B. Hidasi, and P. Cremonesi. CoRR, (2017)
7 years ago by @nosebrain
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6Ask the GRU: Multi-Task Learning for Deep Text Recommendations
T. Bansal, D. Belanger, and A. McCallum. (2016)cite arxiv:1609.02116Comment: 8 pages.
8 years ago by @hotho
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deep
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3What's all the Data about? - Creating structured Profiles of Linked Data on the Web
B. Fetahu, S. Dietze, B. Pereira Nunes, M. Casanova Antonio, D. Taibi, and W. Nejdl. In Proceedings of the 23rd International World Wide Web Conference, (2014)
11 years ago by @bernardonunes
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myown
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5Content-based Movie Recommendation within Learning Contexts
R. Kawase, B. Pereira Nunes, and P. Siehndel. ICALT 2013: 13th IEEE International Conference on Advanced Learning Technologies ICALT, (July 2013)
12 years ago by @bernardonunes
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4Learning to tag
L. Wu, L. Yang, N. Yu, and X. Hua. WWW '09: Proceedings of the 18th international conference on World wide web, page 361--370. New York, NY, USA, ACM, (2009)
13 years ago by @victorinostar
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co-occurrence
flickr
learning
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1User Modelling for Interactive User-Adaptive Collection Structuring
A. Nürnberger, and S. Stober. (2008)
15 years ago by @mediadigits
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interactive
learning
ontology
personalization
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user
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1GitHub - w5688414/deep-learning-for-tag-recommendation: this is the collection for the papers and codes for tag/hashtag recommendation

1Performance Evaluation for Learning Algorithms

1Evaluating Learning Algorithms: A Classification Perspective: Amazon.de: Nathalie Japkowicz: Fremdsprachige Bücher

5APOSDLE learn@work

1BellKor Home Page

publications (hide)14
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2Knowledge graph contrastive learning for recommendation

2Multi-agent system application for music features extraction, meta-classification and context analysis

2Multi-agent system application for music features extraction, meta-classification and context analysis

4Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

3A Reinforcement Learning Framework for Explainable Recommendation

2Multi-Pointer Co-Attention Networks for Recommendation.

1Survey on Kernel Optimization based Enhanced Preference Learning for Online Movie Recommendation

1A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation.

8Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.

6Ask the GRU: Multi-Task Learning for Deep Text Recommendations

3What's all the Data about? - Creating structured Profiles of Linked Data on the Web

5Content-based Movie Recommendation within Learning Contexts

4Learning to tag

1User Modelling for Interactive User-Adaptive Collection Structuring

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