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Side by Side Diff: components/ntp_snippets/user_classifier.h

Issue 2346263002: Extending the UserClassifier to actually support classification. (Closed)
Patch Set: Marc's comments Created 4 years, 3 months ago
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1 // Copyright 2016 The Chromium Authors. All rights reserved. 1 // Copyright 2016 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be 2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file. 3 // found in the LICENSE file.
4 4
5 #ifndef COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_ 5 #ifndef COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_
6 #define COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_ 6 #define COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_
7 7
8 #include <string>
9
8 #include "base/macros.h" 10 #include "base/macros.h"
11 #include "base/time/time.h"
9 12
10 class PrefRegistrySimple; 13 class PrefRegistrySimple;
11 class PrefService; 14 class PrefService;
12 15
13 namespace ntp_snippets { 16 namespace ntp_snippets {
14 17
15 // Collects data about user usage patterns of content suggestions, computes 18 // Collects data about user usage patterns of content suggestions, computes
16 // long-term user metrics locally using pref, and reports the metrics to UMA. 19 // long-term user metrics locally using pref, and reports the metrics to UMA.
17 // TODO(jkrcal): Add classification of users based on the metrics and getters 20 // Based on these lon-term user metrics, it classifies the user in a UserClass.
18 // for the classification as well as for the metrics.
19 class UserClassifier { 21 class UserClassifier {
20 public: 22 public:
23 // Enumeration listing user classes
24 enum class UserClass {
25 OCCASIONAL_NTP_USER,
26 NORMAL_NTP_USER,
27 FREQUENT_NTP_USER,
28 };
29
21 // The provided |pref_service| may be nullptr in unit-tests. 30 // The provided |pref_service| may be nullptr in unit-tests.
22 explicit UserClassifier(PrefService* pref_service); 31 explicit UserClassifier(PrefService* pref_service);
23 ~UserClassifier(); 32 ~UserClassifier();
24 33
25 // Registers profile prefs for all metrics. Called from browser_prefs.cc. 34 // Registers profile prefs for all metrics. Called from browser_prefs.cc.
26 static void RegisterProfilePrefs(PrefRegistrySimple* registry); 35 static void RegisterProfilePrefs(PrefRegistrySimple* registry);
27 36
28 // When the user opens a new NTP - this indicates potential use of content 37 // When the user opens a new NTP - this indicates potential use of content
29 // suggestions. 38 // suggestions.
30 void OnNTPOpened(); 39 void OnNTPOpened();
31 40
32 // When the content suggestions are shown to the user - in the current 41 // When the content suggestions are shown to the user - in the current
33 // implementation when the user scrolls below the fold. 42 // implementation when the user scrolls below the fold.
34 void OnSuggestionsShown(); 43 void OnSuggestionsShown();
35 44
36 // When the user clicks on some suggestions or on some "More" button. 45 // When the user clicks on some suggestions or on some "More" button.
37 void OnSuggestionsUsed(); 46 void OnSuggestionsUsed();
38 47
48 // Get the estimate average length of the interval between two successive
49 // events of the given type.
50 double GetEstimatedAvgTimeToOpenNTP() const;
51 double GetEstimatedAvgTimeToShowSuggestions() const;
52 double GetEstimatedAvgTimeToUseSuggestions() const;
53
54 // Return the classification of the current user.
55 UserClass GetUserClass() const;
56 std::string GetUserClassDescriptionForDebugging() const;
57
58 // Resets the classification (emulates a fresh upgrade / install).
59 void ClearClassificationForDebugging();
60
39 private: 61 private:
40 // The event has happened, recompute and store the metric accordingly. 62 // For estimating the average length of the intervals between two successive
41 void UpdateMetricOnEvent(const char* metric_pref_name, 63 // event, we keep a simple frequency model, a single value that we call
Marc Treib 2016/09/20 10:27:02 s/event/events/
jkrcal 2016/09/20 13:10:13 Done.
42 const char* last_time_pref_name); 64 // "metric" below.
65 // We track exponentially-discounted rate of the given event per hour where
66 // the continuous utility function between two successive events (e.g. opening
67 // a NTP) at times t1 < t2 is 1 / (t2-t1), i.e. intuitively the rate of this
68 // event in this time interval.
69 // See https://en.wikipedia.org/wiki/Exponential_discounting for more details.
43 70
44 // Compute the number of hours between two events for the given metric value 71 // The event has happened, recompute the metric accordingly. Then store and
45 // assuming the events were equally distributed. 72 // return the new value.
46 double GetEstimateHoursBetweenEvents(const char* metric_pref_name); 73 double UpdateMetricOnEvent(const char* metric_pref_name,
74 const char* last_time_pref_name);
75 // No event has happened but we need to get up-to-date metric, recompute and
76 // return the new value. This function does not store the recomputed metric.
77 double GetUpToDateMetricValue(const char* metric_pref_name,
78 const char* last_time_pref_name) const;
47 79
48 // Returns the number of hours since the last event of the same type or 80 // Returns the number of hours since the last event of the same type.
49 // DBL_MAX if there is no last event of that type. 81 // If there is no last event of that type, assume it happened just now and
50 double GetHoursSinceLastTime(const char* last_time_pref_name); 82 // return 0.
83 double GetHoursSinceLastTime(const char* last_time_pref_name) const;
51 void SetLastTimeToNow(const char* last_time_pref_name); 84 void SetLastTimeToNow(const char* last_time_pref_name);
52 85
53 PrefService* pref_service_; 86 PrefService* pref_service_;
54 double const discount_rate_per_hour_;
55 87
56 DISALLOW_COPY_AND_ASSIGN(UserClassifier); 88 DISALLOW_COPY_AND_ASSIGN(UserClassifier);
57 }; 89 };
58 90
59 } // namespace ntp_snippets 91 } // namespace ntp_snippets
60 92
61 #endif // COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_ 93 #endif // COMPONENTS_NTP_SNIPPETS_USER_CLASSIFIER_H_
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