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유저 추천 모델 컨셉 잡기
- SLIM, ALS, 다른 CF 모델 방법론 활용해서 하거나. factorization machine
- 피드백 설계
ㄴ 평점 사용 explicit feedback
ㄴ 평점 말고 다른 정보를 활용한다고 하면 implicit feedback
- 다른 컨셉들도 확인해서 활용할지
ㄴ 딥러닝 CF 모델 혹은 다른 접근 방법…
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New beginner for recommender system. I don't know how to tune the hyperparameters and don't know what is a literally good result. I would like to know what is a proper setting of hyperparameters for t…
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## 一言でいうと
Skip-gram with negative samplingで学習したword embeddingが、ある仮定の下ではPMIの行列を分解しているのと等価なことを示した論文。SPPMIを用いて単語を表現したところ単語類似度タスクとアナロジータスクのうちの一つで性能が向上することを示した。
### 論文リンク
https://papers.nips.cc/paper/…
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## -1. Before you read
**I implemented the code of this paper.** [GitHub](https://github.com/a1da4/sppmi-svd)
## 0. Paper
@incollection{NIPS2014_5477,
title = {Neural Word Embedding as Implici…
a1da4 updated
3 years ago
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- Collaborative Filtering: 작품에 대한 데이터가 별로 없음 (작가 태그 페이지 정도)
- Implicit Feedback: Rating같은 건 없기 때문
In this case, Implicit Matrix Factorization using methods like Alternating Least Squares (ALS) can…
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- S. Rendle, C. Freudenthaler. [Improving Pairwise Learning for Item Recommendation from Implicit Feedback](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.587.3946&rep=rep1&type=pdf)
- http…
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RuntimeError Traceback (most recent call last)
in
2 implicit_model = ImplicitFactori…
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Is anyone interested in having the same feature set available in TF?
I'm considering implementing at least implicit matrix factorization in TF, want to know if it's worth making PRs or not.
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## For reference: the forward problem
For a single electric source term, the forward problem can be defined as:
```math
\begin{bmatrix}
\mathbf{A_{dc}} & & & & & \\
\mathbf{B_1 G} & \mathbf{A…
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非常感謝您的work, 閱讀完您的論文, 有提到Implicit representation可以使用 Vector / Neural Network / Matrix Factorization來表示。
看到您釋出的 [new_layers.md](https://github.com/WongKinYiu/yolor/blob/c84a6f1123a0704d0382d64276befa81…