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lil-lab / recnet

A human-driven recommendation system for academic readings.
https://recnet.io
MIT License
4 stars 1 forks source link

Design following recommendation mechanism #84

Open yoavartzi opened 10 months ago

yoavartzi commented 10 months ago

We need a mechanism to recommend users to follow.

Some options:

  1. Given semantic scholar link, try to get the most related users from our exiting user base.
  2. If we can compute a user embedding based on their past research, we can return the nearest neighbors.

Need to study the Semantic Scholar API. They compute citing and cited authors. If we have can get these, we can intersect them with our user pool, and identify users to recommend.

yoavartzi commented 10 months ago

After the design, we should create issues to implement it under the current milestone.