b1922dbc39
Test: RunSettingsGoogleRoboTests This is currently behind a flag and it is no-op CL. Change-Id: Ieed3e5a9c3c2fbb0ce1bfea77c588b04778540eb
84 lines
3.3 KiB
Java
84 lines
3.3 KiB
Java
/*
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* Copyright (C) 2017 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License
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*/
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package com.android.settings.suggestions;
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import com.android.settingslib.drawer.Tile;
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import android.support.annotation.VisibleForTesting;
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import java.util.Collections;
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import java.util.Comparator;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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public class SuggestionRanker {
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private static final String TAG = "SuggestionRanker";
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// The following coefficients form a linear model, which mixes the features to obtain a
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// relevance metric for ranking the suggestion items. This model is learned with off-line data
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// by training a binary classifier to detect the clicked items. The higher the obtained
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// relevance metric, the higher chance of getting clicked.
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private static final Map<String, Double> WEIGHTS = new HashMap<String, Double>() {{
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put(SuggestionFeaturizer.FEATURE_IS_SHOWN, 4.07506758256);
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put(SuggestionFeaturizer.FEATURE_IS_DISMISSED, 2.11535473578);
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put(SuggestionFeaturizer.FEATURE_IS_CLICKED, 1.21885461304);
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put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN, 3.18832024515);
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put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED, 1.09902706645);
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put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED, 0.262631082877);
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put(SuggestionFeaturizer.FEATURE_SHOWN_COUNT, -0.918484103748 * 240);
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}};
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private final SuggestionFeaturizer mSuggestionFeaturizer;
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private final Map<Tile, Double> relevanceMetrics;
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Comparator<Tile> suggestionComparator = new Comparator<Tile>() {
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@Override
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public int compare(Tile suggestion1, Tile suggestion2) {
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return relevanceMetrics.get(suggestion1) < relevanceMetrics.get(suggestion2) ? 1 : -1;
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}
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};
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public SuggestionRanker(SuggestionFeaturizer suggestionFeaturizer) {
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mSuggestionFeaturizer = suggestionFeaturizer;
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relevanceMetrics = new HashMap<Tile, Double>();
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}
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public void rank(final List<Tile> suggestions, List<String> suggestionIds) {
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relevanceMetrics.clear();
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Map<String, Map<String, Double>> features = mSuggestionFeaturizer.featurize(suggestionIds);
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for (int i = 0; i < suggestionIds.size(); i++) {
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relevanceMetrics.put(suggestions.get(i),
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getRelevanceMetric(features.get(suggestionIds.get(i))));
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}
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Collections.sort(suggestions, suggestionComparator);
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}
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@VisibleForTesting
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double getRelevanceMetric(Map<String, Double> features) {
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double sum = 0;
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if (features == null) {
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return sum;
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}
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for (String feature : WEIGHTS.keySet()) {
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sum += WEIGHTS.get(feature) * features.get(feature);
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}
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return sum;
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}
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}
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