tensorflow / tensorflow/recommenders
Question on Retrieval Stage assumption on Interactions
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Description
Hi,
New to the TFRS, but going through basic guides and documentation . I have a question on the assumption of the Retrieval stage . for movielens dataset that all the data which is rated is treated as positive interactions. But for the use case of for example a different scenario where there is just a yes/no vote or like/dislike and the chances of positive responses is very sparse . how would the Retrieval work ?
For one of my usecases the positive interactions are very less .
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Research direction
Start with the retrieval-stage and MovieLens guides referenced by the question, then trace how positive interactions are described for sparse yes/no data. Done means documenting a clear answer or identifying the relevant documentation gap; no file or test is named in the issue.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100