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Hi Ben, thanks for the package. I have a dataset of 14M+ users and 1M+ items. The model fitting take around 70 mins. But getting recommendations for all users would take north of 10 hours. Is there a …
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Insiram links úteis para a definição do nosso escopo e formas de como pode construir nossa aplicação.
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**ISSUE**
At least one published ETD is missing it's thumbnail. I would like to know if others are and if we have any ideas why?
See:
https://etd.library.emory.edu/concern/etds/q524jn78d?locale=en …
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Hi,
I am not able to find a function 'ALS' which you had used in this post:
http://dsnotes.com/post/2017-06-28-matrix-factorization-for-recommender-systems-part-2/
Kindly help.
Regards.
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Just read http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/
How are you running Annoy for maximum inner product? Annoy doesn't support it out of the box, so I w…
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hi,jfkirk!Can you answer this question in detail?
I have used LightFM to build a recommendation system. Is it necessary to use this(tensorrec)?
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你好,我想问一下这份原始数据(raw_user_side_information_data.dat)如果方便的话可以发给我一份吗,谢谢了,我的邮箱号:1162276945@qq.com。
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I tried to create a mind map in the Library with the name "recommender systems (offline / online), but after pressing the OK-Button, the file was named "online ).mm"
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when i drag and drop a PDF from the windows explorer (e.g. 11_Ricci et al_Recommender Systems Handbookrecbook.pdf) to my DFG.mm mind map, an exception occurs. log is sent by email.
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I did some recommendations (using default parameters for algorithms and kcv with 10 folds) and found the novelty evaluator gives quite high values compared to the other ranking metrics.
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