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Recommender systems
1. Introduction
2. Types of recsys
3. Applications
4. Data Mining methods for recsys
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I am trying to get predictions using LightFM. I have user feature,item feature and user item interactions as the input. When I am running my model with user item interactions and item features as inpu…
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Do we want to raise these [numbers](https://codecov.io/gh/recommenders/rival)?
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Recommenders are in growing demand in machine learning. Something like collaborative filtering techniques are fast enough and easy to be implemented. Can it be introduced into sklearn? Since it's com…
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Very cool library!
Is it the case that LightFM only supports binary classification? Can't I use for multinomial classification?
Thanks!
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Hi, instead of sorting libs and frameworks based on which language they are being implemented it would be nice to sort them there application so it would be sorted like classifiers, recommender system…
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Should model the following:
- Accounts
- Agents: People / Organizations / Software
- Roles
- Events
- Acting onBehalfOf another Person or Organization
Use cases:
- Self-Submission
- Annotations (Comm…
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The whole cross validation / parameter search relies on sample masks rather than train / test physical datasets. This is not convenient if we need for example to remove some features /sample from a sp…
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I don't believe there are implementations for many algorithms behind recommendation engines. I would like to start with [Probabilistic Matrix Factorization](http://www.cs.utoronto.ca/~amnih/papers/pmf…
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Should `filter` affect the raw data domain? Right now, if I set both `transform.filter` and `config.scale.includeRawDomain` in a Vega-lite spec, I get the filtered data domain instead of the raw data …