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4Deep Learning for NLP - NAACL 2013 Tutorial
Deep Learning for Natural Language Processing (without Magic)
8 years ago by @hotho
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1mechanize-2.0.1 Documentation
http://mechanize.rubyforge.org/
13 years ago by @sdo
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2Exception-Handling Antipatterns | Java.net
http://today.java.net/article/2006/04/04/exception-handling-antipatterns#logAndThrow
12 years ago by @nosebrain
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3Ansible is Simple IT Automation
https://www.ansible.com/
8 years ago by @sdo
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3Semantics discovery in social tagging systems: A review
F. Jabeen, S. Khusro, A. Majid, and A. Rauf. Multimedia Tools and Applications, 75 (1): 573--605 (2016)
7 years ago by @hotho
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semantic
toread
folksonomy
learning
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semantictoreadfolksonomylearningsurvey
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3Combining content and relation analysis for recommendation in social tagging systems
Y. Zhang, B. Zhang, K. Gao, P. Guo, and D. Sun. Physica A: Statistical Mechanics and its Applications, 391 (22): 5759 - 5768 (2012)
12 years ago by @hotho
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2Building an Effective Representation for Dynamic Networks
S. Hill, D. Agarwal, R. Bell, and C. Volinsky. Journal of Computational & Graphical Statistics, (September 2006)
13 years ago by @hotho
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9Duplicate Record Detection: A Survey
A. Elmagarmid, P. Ipeirotis, and V. Verykios. Knowledge and Data Engineering, IEEE Transactions on, 19 (1): 1--16 (2007)
13 years ago by @hotho
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2Scalable Analysis of Socially Informed Network Models: the data-aware mean-field approach
J. Birkholz, R. Bakhshi, R. Harige, M. van Steen, and P. Groenewegen. CoRR, (September 2012)
12 years ago by @jaeschke
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2An unsupervised heuristic-based approach for bibliographic metadata deduplication
E. Borges, M. De Carvalho, R. Galante, M. Gonçalves, and A. Laender. Information Processing & Management, 47 (5): 706--718 (2011)
13 years ago by @hotho
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2The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic
A. Signorini, A. Segre, and P. Polgreen. PLoS ONE, 6 (5): e19467 (May 2011)
12 years ago by @hotho
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11Features of similarity
A. Tversky. Psychological Review, 84 (4): 327--352 (1977)
10 years ago by @jaeschke
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3Forecasting of traffic origin NO and NO2 concentrations by Support Vector Machines and neural networks using Principal Component Analysis
I. Juhos, L. Makra, and B. Tóth. Simulation Modelling Practice and Theory, 16 (9): 1488 - 1502 (2008)
11 years ago by @hotho
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4Impact of Data Characteristics on Recommender Systems Performance
G. Adomavicius, and J. Zhang. ACM Transactions on Management Information Systems, 3 (1): 1--17 (April 2012)
10 years ago by @jaeschke
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5Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature
S. Haustein, I. Peters, C. Sugimoto, M. Thelwall, and V. Larivière. Journal of the Association for Information Science and Technology, 65 (4): 656--669 (2014)
10 years ago by @jaeschke
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2Recommender systems
L. Lü, M. Medo, C. Yeung, Y. Zhang, Z. Zhang, and T. Zhou. Physics Reports, 519 (1): 1 - 49 (2012)Recommender Systems.
12 years ago by @hotho
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3Measuring Semantic Relatedness using Wikipedia Signed Network
W. Yang, and H. Kao. J. Inf. Sci. Eng., 29 (4): 615-630 (2013)
11 years ago by @hotho
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3Representing Meaning with a Combination of Logical and Distributional Models.
I. Beltagy, S. Roller, P. Cheng, K. Erk, and R. Mooney. Computational Linguistics, 42 (4): 763-808 (2016)
6 years ago by @hotho
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3Choosing the right NoSQL database for the job: a quality attribute evaluation
J. Lourenço, B. Cabral, P. Carreiro, M. Vieira, and J. Bernardino. Journal Of Big Data, (2015)
9 years ago by @hotho
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8Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
F. Morstatter, J. Pfeffer, H. Liu, and K. Carley. (2013)
11 years ago by @hotho
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2Privacy-preserving topic model for tagging recommender systems
T. Zhu, G. Li, W. Zhou, P. Xiong, and C. Yuan. Knowledge and Information Systems, 46 (1): 33--58 (2016)
7 years ago by @hotho
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1Phrase-based hashtag recommendation for microblog posts
Y. Gong, Q. Zhang, X. Han, and X. Huang. Science China Information Sciences, 60 (1): 012109 (2016)
7 years ago by @hotho
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1Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation
F. Belém, C. Batista, R. Santos, J. Almeida, and M. Goncalves. ACM Trans. Intell. Syst. Technol., 7 (3): 26:1--26:34 (February 2016)
7 years ago by @hotho
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3Folksonomy-Based Recommender Systems: A State-of-the-Art Review
D. Godoy, and A. Corbellini. International Journal of Intelligent Systems, 31 (4): 314--346 (2016)
7 years ago by @hotho
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BibSonomy

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4Deep Learning for NLP - NAACL 2013 Tutorial

1mechanize-2.0.1 Documentation

2Exception-Handling Antipatterns | Java.net

3Ansible is Simple IT Automation

publications (hide)405
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3Semantics discovery in social tagging systems: A review

3Combining content and relation analysis for recommendation in social tagging systems

2Building an Effective Representation for Dynamic Networks

9Duplicate Record Detection: A Survey

2Scalable Analysis of Socially Informed Network Models: the data-aware mean-field approach

2An unsupervised heuristic-based approach for bibliographic metadata deduplication

2The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

11Features of similarity

3Forecasting of traffic origin NO and NO2 concentrations by Support Vector Machines and neural networks using Principal Component Analysis

4Impact of Data Characteristics on Recommender Systems Performance

5Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature

2Recommender systems

3Measuring Semantic Relatedness using Wikipedia Signed Network

3Representing Meaning with a Combination of Logical and Distributional Models.

3Choosing the right NoSQL database for the job: a quality attribute evaluation

8Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

2Privacy-preserving topic model for tagging recommender systems

1Phrase-based hashtag recommendation for microblog posts

1Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation

3Folksonomy-Based Recommender Systems: A State-of-the-Art Review

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