---
title: Revisions and Response
author: Carl Colglazier
---

Provide background for the recommendation system

> -   Identify key examples of the kinds of systems/features the one you have proposed/created aligns with.
>
> -   Situate your approach in relation to key prior work that motivates the approach you pursue

I added two sections to the background section of the text which describe recommender systems/collaborative filtering and trade-offs in different methods of evaluation. This system connects with prior work from HCI researchers, e.g. in the GroupLens lab, to build discovery and recommender systems.

## Elaborate the design rationale for the system in the text.

> -   Why recommend small/specific servers?
>
> -   What key related work justifies the approach you pursue to designing the system in the way you do?

In addition to the previous survivor models, I added a logistic regression model based on a continuous measure of server "generality" to support the decision to steer newcomers toward more topic-based and smaller servers. Future work can look at specific users to see if engagement with hashtags and local timelines is indicative of better retention.

TODO: key related work

## Address system evaluation more directly in the paper

> -   Explain, justify, and interpret the evaluation that is present in the paper
>
> -   Elaborate/justify additional system evaluation plans (e.g., usability; robustness to dropping servers/tags; balancing tradeoffs; navigating privacy/trust/safety concerns)

## Clearly identify the research/design contributions of this system

> -   Both at present and assuming your proposed development plans move forward