3 ms·
Does the assumption of a homogeneous pool of content and a corresponding homogeneous pool of readers affect this? Segmenting by topic and applying the algorithm
by streamofdigits 5y ago
Does the assumption of a homogeneous pool of content and a corresponding homogeneous pool of readers affect this? Segmenting by topic and applying the algorithm per each pool might be necessary if one wants to have a "fair" assessment of quality.
- GRBurst 5y agoWhy would that make a difference?
- streamofdigits 5y agofor example the ratio of upvotes to views as a signal of quality may have different average level depending on segment
- manx 5y agoThat's a good question. Unfortunately, we don't have any data about the heterogeneity of the user pool. So we have to guess. In the simplified simulation, the agents have random expectation levels and compare that to the submissions quality. They only upvote if the quality exceeds their expectation. We thought about modeling quality and agent preference with higher dimensional vectors, like in a recommender system. And to see if a user will upvote a specific content, you calculate the dot product. A simplified 1-dimensional user expectation and 1-dimensional quality can be seen as working on the scalars of the dot products itself. There was a Master thesis which did some simulations with high-dimensional vectors and how many dimensions make sense. The result was that it basically doesn't matter. In the end, we have to make a real-world experiment with the HN community to see if it works as expected.