“Tianyi Luo 2015-08-17”版本间的差异
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(以“=== Plan last week === * To summit the final version of EMNLP 2015. * To release the sentence vector of RNN with baidu's corpus about similar questions. * To use the...”为内容创建页面) |
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第7行: | 第7行: | ||
* Be prepare and make a report to Huilian in 2015-08-13. | * Be prepare and make a report to Huilian in 2015-08-13. | ||
* Summit the final version of EMNLP 2015 in 2015-08-15. | * Summit the final version of EMNLP 2015 in 2015-08-15. | ||
− | * Conduct uv decomposition(100 iterations and d = 1000. 170 thousand users, 30 thousand items and 20 million ratings) in giant-1, it run 94 hours and did not stop. I think I | + | * Conduct uv decomposition(100 iterations and d = 1000. 170 thousand users, 30 thousand items and 20 million ratings) in giant-1, |
+ | it run 94 hours and did not stop. I think I should thingk about sparse decomposition solution. | ||
=== Plan to do next week === | === Plan to do next week === | ||
* To release the sentence vector of RNN with baidu's corpus about similar questions. | * To release the sentence vector of RNN with baidu's corpus about similar questions. |
2015年8月17日 (一) 01:07的版本
Plan last week
- To summit the final version of EMNLP 2015.
- To release the sentence vector of RNN with baidu's corpus about similar questions.
- To use the vectors of UV decomposition as the dark knowledge of DNN.
- To implement other methods to get latent user and item vectors as the dark knowledge of NN.
Work done in this week
- Be prepare and make a report to Huilian in 2015-08-13.
- Summit the final version of EMNLP 2015 in 2015-08-15.
- Conduct uv decomposition(100 iterations and d = 1000. 170 thousand users, 30 thousand items and 20 million ratings) in giant-1,
it run 94 hours and did not stop. I think I should thingk about sparse decomposition solution.
Plan to do next week
- To release the sentence vector of RNN with baidu's corpus about similar questions.
- To use the vectors of UV decomposition as the dark knowledge of DNN.
- To implement other methods to get latent user and item vectors as the dark knowledge of NN.
- To thingk about how to modify <<Learning from LDA using Deep Neural Networks>>.