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Create recommender system that uses discrete choice abstract comparisons presented to the user to determine the underlying topic combination they are looking for. Topic proportions would be the attrib…
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# URL
- https://arxiv.org/abs/2409.07627
# Affiliations
- Shanu Vashishtha, N/A
- Abhay Kumar, N/A
- Lalitesh Morishetti, N/A
- Kaushiki Nag, N/A
- Kannan Achan, N/A
# Abstract
- E-commerc…
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Please leave your requirements below.
- Interact with and manage the database.
- Provide "login" functionality to the frontend.
- IMPORTANT: NEED SPECIFICS!
- Search functionality for frontend.
-…
onkoe updated
34 minutes ago
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I want to translate your book into Chinese, and I hope I can get your permission.
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Currently, we use the variant of recall described in Huang 2021:
> Our initial results have been very promising. The primary metric we are currently using is recall, the percentage of documents def…
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## 0. 論文
### タイトル
Towards Knowledge-Based Recommender Dialog System
### リンク
https://arxiv.org/abs/1908.05391
### 著者
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, …
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http://www.aaai.org/ojs/index.php/aimagazine/article/download/2364/2229
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### Bug description
The unit test of the 2-stage recommender system pipeline is shaky due to multiple reasons:
- user_id sent to triton inference server does not exist in FEAST storage
- FIASS cann…
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### Description
Add KNN for topk
Here there is a benchmark of KNN libs: https://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/
### Expected behavior with the …
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rcv1 and mnist are both very interesting, but I'm personally most interested in vectorflow for recommendation systems.
Could you add an example of this use case? Maybe the matrix factorization exa…