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Recommendation engine based on mention count similarity #2

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merged 7 commits into from Dec 10, 2014

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jonathansick commented Dec 10, 2014

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jonathansick added some commits Dec 10, 2014

Build a mentions-based recommendation engine
See latexrec and mentionsrec for implementation and the
scripts/astrorecs.py script for an example.

Idea is to list papers cited by your article, and count the number of
times mentioned (these are the primary citations).

Of these primary references, find the set of all secondary references
(papers referred to by primary references, but that are not also
primary references).

For each secondary reference, find all tertiary references that are also
primary references. Count the number of mentions.
Then score the secondary reference by the cosine similarity of their
mention count vectors to those of the origin document to primary
references.

freelanceastro added a commit that referenced this pull request Dec 10, 2014

Merge pull request #2 from jonathansick/rec_script
Recommendation engine based on mention count similarity

@freelanceastro freelanceastro merged commit 2f5f960 into freelanceastro:master Dec 10, 2014

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