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Excuse me, After reading your thesis and code, i have benefited a lot. Again, there are some doubts, I hope you can help answer
**1)Is the training speed displayed by REAME.md (shown below) based …
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## 推荐项目
- 项目地址:https://github.com/denser-org/denser-retriever
- 类别:Python
- 项目标题:Denser Retriever: 企业级AI检索器,构建自己专属的RAG应用和聊天机器人🤖
- 项目描述:Denser Retriever是一个企业级AI检索器,旨在简化应…
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Something which can answer the same questions which are answered [here](https://blog.vespa.ai/accelerating-transformer-based-embedding-retrieval-with-vespa) i.e. :
Which models offer the best recal…
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您好,我使用MHCN在Douban数据集上并没有跑出原论文的效果,原论文对Douban数据集的预处理是删除掉评分小于4的item,原论文的结果是:recall@10:0.06556、ndcg@10:0.20694、precision@10:0.18283
但是我跑的结果是recall@10:0.0485、ndcg@10:0.1397、precision@10:0.1247
跑不过lightGC…
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**I ran the command on latest small movielens dataset twice**
_python peagcn_solver_bpr.py --dataset=Movielens --dataset_name=latest-small --num_core=10 --num_feat_core=10 --sampling_strategy=unseen…
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When I use your MoviLen DataSet code(**support.py**), I find out methods of computing **NDCG** metrics is wrong. for example, model predicted User vector is [[0],[1],[0],[1],[0],[0],[0],[0],[0],[0]] …
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Sir,
could you implement other performance measures? kindly share me code for the recall, nDCG in rust.
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您好!
下面是我用SGL在ml-1m上运行的超参数,已经按照您提供的最佳超参来设置
但是并不能达到您提供的结果
想向您请教下原因
(SimGCL和NCL也出现类似问题)
type:"ED"
n_layers:3
ssl_tau:0.5
reg_weight:1e-4
ssl_weight:0.005
drop_ratio:0.1
embedding_size:64
lea…
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For some metrics like nDCG, it is plausible that we have float relevance scores.
Is it a way to use pytrec_eval for floating relevance scores?
The following sample:
```
import pytrec_eval
i…
amirj updated
4 years ago