The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Fortune Teller: Predicting Your Career Path
Open accessAbstract
People go to fortune tellers in hopes of learning things about their future. A future career path is one of the topics most frequently discussed. But rather than rely on "black arts" to make predictions, in this work we scientifically and systematically study the feasibility of career path prediction from social network data. In particular, we seamlessly fuse information from multiple social networks to comprehensively describe a user and characterize progressive properties of his or her career path. This is accomplished via a multi-source learning framework with fused lasso penalty, which jointly regularizes the source and career-stage relatedness. Extensive experiments on real-world data confirm the accuracy of our model.
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A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,122
Sparsity and Smoothness Via the Fused Lasso
Tibshirani, R., Saunders, M., Rosset, S., Zhu, J., & Knight, K. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00490.x · Cited by 2,724
Sparse Reconstruction by Separable Approximation
Wright, S. J., Nowak, R. D., & Figueiredo, M. A. T. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2016892 · Cited by 1,854
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A convex formulation for learning task relationships in multi-task learning
Zhang, Y., & Yeung, D. (2010) · Cited by 338
Action2Activity: Recognizing Complex Activities from Sensor Data
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Cited by
Fast image encryption algorithm based on parallel computing system
Wang, X., Feng, L., & Zhao, H. (2019) · Information Sciences · doi:10.1016/j.ins.2019.02.049 · Cited by 414
A survey on sentiment analysis and opinion mining for social multimedia
Li, Z., Fan, Y., Jiang, B., Lei, T., & Liu, W. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6445-z · Cited by 164
Metadata
- Authors
- Liu, Y., Zhang, L., Nie, L., Yan, Y., & Rosenblum, D.
- Venue
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2016-02-21
- Volume
- 30
- Issue
- 1
- ISSN
- 2159-5399 (ISSN-L)
- 2374-3468
- OpenAlex
- W2482567233
- Cited by
- 258
- References
- 33
- FWCI
- 53.24
- Type
- conference paper
- Language
- en
- Open access
- diamond
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