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Hi, my query is related to combining sentence embeddings and some external metrics. For the task of neural information retrieval, more specifically re-ranking, I have a few metrics such as page …
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http://www.cs.cmu.edu/~./callan/Papers/wsdm18-zhuyun-dai.pdf
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[ttps://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-technology-part-1](https://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-tec…
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Add collection statistics to the trader and integrate them with Pi Gamma Bot for display purposes.
List of stats to include:
- Current account balance
- Difference from the initial state
- Total…
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I'm wondering how to calcuate nDCG paper? :confused:
**Question:** The nDCG calculation needs the link predictions of all unobserved items, but It is not tractable(because of sparse density). What…
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|논문|DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases|
|--|--|
|저자|Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie|
|링크|https://arxiv.org/abs/1905.07689|
|학회|S…
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There is clearly something wrong with this implementation, as simple ranking points predictor gives 67% prediction. Elo can get 68%, Surface Elo 68.5%.
More sophisticated predictors can get up to 70%…
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My goal is to build a unique multimodal WooCommerce search experience with Vespa multivectors and an hybrid ranking on text-BM25, text-vectors, and image-vectors.
For instance, E-commerce can use:
…
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### Description
Perform the benchmarks for the Query via the new "neural" query type.
### Benchmarking Search API
This will provide insights around performance of the new Query type (*neural*) …
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Currently, the only missing chapter in the PyTorch port of the book is [Recommender Systems](https://d2l.ai/chapter_recommender-systems/index.html). Given the number of requests that we have been rece…