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https://anyi.im/2018/09/18/thoughts-about-recsys/
当你温柔,却有力量
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Hello, thenk you, for your library, very great!
I have no doubts that it is possible to use SVD and SVD++, that are one of the most classical RecSys algotithms. Please show me how this can be achie…
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Traceback (most recent call last):
File "C:/Users/Maick Henrique/PycharmProjects/recsys-experiments/codes/testeTensor.py", line 118, in
test_recom()
File "C:/Users/Maick Henrique/PycharmPr…
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# URL
- https://arxiv.org/abs/2203.13366
# Affiliations
- Shijie Geng, N/A
- Shuchang Liu, N/A
- Zuohui Fu, N/A
- Yingqiang Ge, N/A
- Yongfeng Zhang, N/A
# Abstract
- For a long time, diff…
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I noticed the recent integration of LLMs, local or remote, including RAG. This is a great feature.
The most requested feature nowadays is a real-time recommendation system, based on user events, li…
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Fix duplicated recommendations for content-based model and check others for the same bug
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## Problem:
When the item catalog is very large (e.g. tens or hundreds of millions), companies typically implement a two-stage recsys pipeline, where (1) candidate generation models provide a number …
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Hello, I am a first-year master's student and I am doing research on job recommendations. I would like to get data on The ACM RecSys Challenge 2017, is it still available?
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Hi, is the rewards and regret calculation necessary two times ?
1) In the step function of src/env.py, line number 97-99.
2) In train.py, line 101.
In both places, rewards and regrets are being c…
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After the first demo we will implement a kind news rec queue. No hard time constraint. Moreover the rec list can be updated to enhance recommendations.
For a particular user, a recsys can pre-send …