tor-browser

The Tor Browser
git clone https://git.dasho.dev/tor-browser.git
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InferredConstants.sys.mjs (2378B)

      1 /* This Source Code Form is subject to the terms of the Mozilla Public
      2 * License, v. 2.0. If a copy of the MPL was not distributed with this
      3 * file, You can obtain one at http://mozilla.org/MPL/2.0/. */
      4 
      5 export const FORMAT_ENUM = {
      6  SMALL: 0,
      7  MEDIUM: 1,
      8  LARGE: 2,
      9 };
     10 
     11 export const FORMAT = {
     12  "small-card": FORMAT_ENUM.SMALL,
     13  "medium-card": FORMAT_ENUM.MEDIUM,
     14  "large-card": FORMAT_ENUM.LARGE,
     15 };
     16 
     17 /**
     18 * We are exploring two options for interest vectors
     19 */
     20 export const MODEL_TYPE = {
     21  // Returns clicks and impressions as separate dictionaries
     22  CLICK_IMP_PAIR: "click_impression_pair",
     23  // Returns a single clicks dictionary, along with the total number of clicks
     24  CLICKS: "clicks",
     25  CTR: "ctr",
     26 };
     27 
     28 export const CLICK_FEATURE = "click";
     29 
     30 export const AggregateResultKeys = {
     31  POSITION: "position",
     32  FEATURE: "feature",
     33  VALUE: "feature_value",
     34  SECTION_POSITION: "section_position",
     35  FORMAT_ENUM: "card_format_enum",
     36 };
     37 
     38 // Clicks feature is handled in certain ways by the model
     39 export const SPECIAL_FEATURE_CLICK = "clicks";
     40 
     41 export const DEFAULT_INFERRED_MODEL_DATA = {
     42  model_type: MODEL_TYPE.CLICKS,
     43  rescale: true,
     44  day_time_weighting: {
     45    days: [3, 14, 45],
     46    relative_weight: [1, 1, 1],
     47  },
     48  interest_vector: {
     49    parenting: {
     50      features: { parenting: 1 },
     51      thresholds: [0.3, 0.4],
     52      diff_p: 0.75,
     53      diff_q: 0.25,
     54    },
     55    arts: {
     56      features: { arts: 1 },
     57      thresholds: [0.3, 0.4],
     58      diff_p: 0.75,
     59      diff_q: 0.25,
     60    },
     61    health: {
     62      features: { arts: 1 },
     63      thresholds: [0.3, 0.4],
     64      diff_p: 0.75,
     65      diff_q: 0.25,
     66    },
     67    sports: {
     68      features: { sports: 1 },
     69      thresholds: [0.3, 0.4],
     70      diff_p: 0.75,
     71      diff_q: 0.25,
     72    },
     73    society: {
     74      features: { society: 1 },
     75      thresholds: [0.3, 0.4],
     76      diff_p: 0.75,
     77      diff_q: 0.25,
     78    },
     79    education: {
     80      features: { education: 1 },
     81      thresholds: [0.3, 0.4],
     82      diff_p: 0.75,
     83      diff_q: 0.25,
     84    },
     85    government: {
     86      features: { government: 1 },
     87      thresholds: [0.3, 0.4],
     88      diff_p: 0.75,
     89      diff_q: 0.25,
     90    },
     91    [SPECIAL_FEATURE_CLICK]: {
     92      features: { click: 1 },
     93      thresholds: [2, 8, 40],
     94      diff_p: 0.9,
     95      diff_q: 0.1,
     96    },
     97  },
     98 };
     99 
    100 export const DEFAULT_INFERRED_MODEL = {
    101  model_id: "default",
    102  model_data: DEFAULT_INFERRED_MODEL_DATA,
    103 };