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1Kdd 2014 Tutorial - the recommender problem revisited
https://www.slideshare.net/xamat/kdd-2014-tutorial-the-recommender-problem-revisited?qid=30fafdec-1f44-4fb6-8fd8-a3f22e2eb008&v=&b=&from_search=2
5 years ago by @nosebrain
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1Mortar
Award-winning data science platform for open technologies: Pig, Python, MongoDB and more. Easily run a custom recommender system, analyze logs, or do NLP.
11 years ago by @nosebrain
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47Evaluating collaborative filtering recommender systems
J. Herlocker, J. Konstan, L. Terveen, and J. Riedl. ACM Trans. Inf. Syst., 22 (1): 5--53 (2004)
3 years ago by @nosebrain
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collaborative
evaluation
filtering
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system
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1Precision-Oriented Evaluation of Recommender Systems
A. Bellogin, P. Castells, and I. Cantador. Proceedings of the fifth ACM conference on Recommender systems - RecSys 2011, page 333 -- 336. ACM Press, (2011)
3 years ago by @nosebrain
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evaluation
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9Collaborative Filtering for Implicit Feedback Datasets
Y. Hu, Y. Koren, and C. Volinsky. 2008 Eighth IEEE International Conference on Data Mining, page 263-272. (December 2008)
3 years ago by @nosebrain
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collaborative
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implicit
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1A Probabilistic Reformulation of Memory-Based Collaborative Filtering
R. Cañamares, and P. Castells. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, (August 2017)
3 years ago by @nosebrain
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collaborative
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7Performance of recommender algorithms on top-n recommendation tasks
P. Cremonesi, Y. Koren, and R. Turrin. Proceedings of the fourth ACM conference on Recommender systems - RecSys \textquotesingle10, ACM Press, (2010)
3 years ago by @nosebrain
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ken
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itemkenrecommender
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1Statistical biases in Information Retrieval metrics for recommender systems
A. Bellogín, P. Castells, and I. Cantador. Information Retrieval Journal, 20 (6): 606--634 (Dec 1, 2017)
3 years ago by @nosebrain
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evaluation
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2Evaluation of recommendations: rating-prediction and ranking
H. Steck. Proceedings of the 7th ACM conference on Recommender systems, ACM, (October 2013)
3 years ago by @nosebrain
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2Online Evaluation for Information Retrieval
K. Hofmann, L. Li, and F. Radlinski. now, (2016)
3 years ago by @nosebrain
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evaluation
ir
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2A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems
J. Beel, and S. Langer. Research and Advanced Technology for Digital Libraries, page 153--168. Cham, Springer International Publishing, (2015)
3 years ago by @nosebrain
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1Factorization meets the neighborhood
Y. Koren. Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08, ACM Press, (2008)
3 years ago by @nosebrain
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negative
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2A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.
A. Elkahky, Y. Song, and X. He. Proceedings of the 2018 World Wide Web Conference, page 278-288. ACM, (2015)
3 years ago by @nosebrain
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3MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
S. Cho, E. Park, and S. Yoo. Fourteenth ACM Conference on Recommender Systems, ACM, (September 2020)
4 years ago by @nosebrain
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bert4rec
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time
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2An Integral Tag Recommendation Model for Textual Content
S. Tang, Y. Yao, S. Zhang, F. Xu, T. Gu, H. Tong, X. Yan, and J. Lu. Proceedings of the AAAI Conference on Artificial Intelligence, (July 2019)
5 years ago by @nosebrain
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iTag
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iTagpointerrecommendationrecommenderseq2seqtag
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4Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
M. Dacrema, P. Cremonesi, and D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, page 101--109. New York, NY, USA, ACM, (2019)
5 years ago by @nosebrain
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lsx:reading-group
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1TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems
N. Liang, H. Zheng, J. Chen, A. Sangaiah, and C. Zhao. Applied Sciences, 8 (5): 799 (May 2018)
5 years ago by @nosebrain
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aware
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2Collaborative Variational Autoencoder for Recommender Systems
X. Li, and J. She. KDD, page 305-314. ACM, (2017)
5 years ago by @nosebrain
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autoencoderrecommenderreservedseminar201920systemthemathema:autoencoder_recommendervariational
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3Interacting Attention-gated Recurrent Networks for Recommendation.
W. Pei, J. Yang, Z. Sun, J. Zhang, A. Bozzon, and D. Tax. CIKM, page 1459-1468. ACM, (2017)
5 years ago by @nosebrain
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1Therapy Decision Support Based on Recommender System Methods
F. Gräßer, S. Beckert, D. Küster, J. Schmitt, S. Abraham, H. Malberg, and S. Zaunseder. Journal of Healthcare Engineering, (2017)
6 years ago by @nosebrain
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decision
models
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2Health recommender systems: concepts, requirements, technical basics and challenges
M. Wiesner, and D. Pfeifer. Int J Environ Res Public Health, 11 (3): 2580-2607 (March 2014)
6 years ago by @nosebrain
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health
overview
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healthoverviewrecommendersystem
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4Recommender systems: introduction and challenges
F. Ricci, L. Rokach, and B. Shapira. Recommender systems handbook, Springer, (2015)
6 years ago by @nosebrain
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1Kdd 2014 Tutorial - the recommender problem revisited

1Mortar

publications (hide)38
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47Evaluating collaborative filtering recommender systems

1Precision-Oriented Evaluation of Recommender Systems

9Collaborative Filtering for Implicit Feedback Datasets

1A Probabilistic Reformulation of Memory-Based Collaborative Filtering

7Performance of recommender algorithms on top-n recommendation tasks

1Statistical biases in Information Retrieval metrics for recommender systems

2Evaluation of recommendations: rating-prediction and ranking

2Online Evaluation for Information Retrieval

2A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems

1Factorization meets the neighborhood

2A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.

3MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation

2An Integral Tag Recommendation Model for Textual Content

4Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

1TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems

2Collaborative Variational Autoencoder for Recommender Systems

3Interacting Attention-gated Recurrent Networks for Recommendation.

1Therapy Decision Support Based on Recommender System Methods

2Health recommender systems: concepts, requirements, technical basics and challenges

4Recommender systems: introduction and challenges

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