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### Aim
_Provide users with personalised book recommendations.
_To develop reliable and personalised recommendations for each individual, the system uses a large collection of books and user prefere…
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Started full-time thesis around april/may 2023.
Track DST, Q3/4 start. Still "seminar course" ToDo. Has superapp/MusicDAO experience. Discussed as diverse as digital Euro and Web3 search engine (un…
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Hello,
I am working on a project and we want to use recsim to understand how RL agents on recommender systems work. We created a new environment based on our business case and applied the full-slat…
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@fbricon Maybe before you rush off and publish it, I should outline some of my concerns so they're built into the usecases.
I have two extensions, vscode-server-connector and community-server-conne…
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https://link.springer.com/chapter/10.1007/978-0-387-85820-3_3
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**Team Members:**
* Nirajan Prajapati
* Nirjal Prajapati
* Rohit Prajapati
* Sahas Prajapati
**References:**
[Recommender System : Wikipedia](https://en.wikipedia.org/wiki/Recommender_system)
…
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Develop the Content Based Filtering Recommender based on this Article;
http://irserver.ucd.ie/dspace/bitstream/10197/1893/1/sp145-phelan.pdf
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It's not clear which types of recommenders can be exported to Core ML.
- We should clearly list which model types can be exported in the recommender export docs (https://apple.github.io/turicreate/…
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I use recommender to recommend songs. When I use the default recommender, it works well.
`model = turicreate.recommender.create(training_data, 'user_id', 'song_id', target='rank')`
But when I ch…
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Bag of Words + doc term matrix + tf-idf ... to be implemented to AI.
See also TensorFlow word2vec. RNN (https://machinelearnings.co/tensorflow-text-classification-615198df9231).