Topic Social Proof Service (TSPS) delivers highly relevant topics tailored to a user's interests by analyzing topic preferences, such as following or unfollowing, and employing semantic annotations and other machine learning models.
Remove unused ranking params which are specified by services when making an Earlybird relevance search.
For cr-mixer: since we always set useTensorflowRanking = true in EarlybirdSimilarityEngineRouter, we will only ever use the TensorFlowBasedScoringFunction for ranking search results. That function doesn't rely on any of the linear params specified in getLinearRankingParams, nor the boosts because we set applyBoosts = false in the request. These parameters are therefore strictly redundant.
The parameters in home-mixer can be removed for essentially the same reason—the parameters are redundant given that we use the Tensorflow scoring function and don't apply boosts.
Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future.
