| // Copyright 2018 The Fuchsia Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style license that can be |
| // found in the LICENSE file. |
| |
| #include "peridot/bin/suggestion_engine/filters/conjugate_ranked_passive_filter.h" |
| |
| #include <list> |
| |
| namespace modular { |
| |
| ConjugateRankedPassiveFilter::ConjugateRankedPassiveFilter( |
| std::shared_ptr<RankingFeature> ranking_feature) |
| : ranking_feature_(ranking_feature) {} |
| |
| ConjugateRankedPassiveFilter::~ConjugateRankedPassiveFilter() = default; |
| |
| // If the confidence of the ranking feature is 0.0 then this filter returns |
| // true. |
| // Example usage with FocusedStoryRankingFeature. It should hide suggestions |
| // with story affinity true that are not focused: |
| // - StoryAffinity=false, Focused=... => 1.0 => false |
| // - StoryAffinity=true, Focused=true => 1.0 => false |
| // - StoryAffinity=true, Focused=false => 0.0 => true |
| bool ConjugateRankedPassiveFilter::Filter( |
| const std::unique_ptr<RankedSuggestion>& ranked_suggestion) { |
| double confidence = ranking_feature_->ComputeFeature( |
| fuchsia::modular::UserInput(), *ranked_suggestion); |
| return confidence == kMinConfidence; |
| } |
| |
| } // namespace modular |
