wikirec New recommendation models

Please use this issue to make suggestions for new models that could be added to wikirec. Suggestions would ideally include some of the following:

A blogpost or other source where the method is applied for related NLP tasks
A research paper that details the method and its potential applications
Source code for the method in Python or another language

Estimates of the model's efficacy would also be appreciated so that a new good first issue can be made and prioritized.

Thanks for any suggestions!

Apr 04 '21 21:04 andrewtavis

#36 has been created for adding an embeddings neural network to wikirec.

Apr 06 '21 12:04 andrewtavis

Have you taken a look at this research paper? Curious to know how it would compare to TF-IDF and your other methods. https://arxiv.org/abs/2009.11771 https://meta.wikimedia.org/wiki/Research:Convolutional_Graph_Embeddings_for_article_recommendation_in_Wikipedia https://github.com/digitalTranshumant/WikiRecNet-ComplexRec2020

Nov 27 '23 05:11 zedeus

Thanks for brining it up! I hadn't seen it yet :) Will check the paper out!

Nov 27 '23 07:11 andrewtavis

The purpose of recommending articles to edit is obviously different than what to read, but I assume you'd get good results by simply swapping out the list of edits with a list of reads/likes.

Nov 27 '23 08:11 zedeus

On another note, did you try BM25? From my reading it seems to be TF-IDF but better, by simply adding document length normalisation.

Dec 01 '23 12:12 zedeus

Also haven't tried this one :) We could even do a specific issue for that?

Dec 01 '23 16:12 andrewtavis