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humane-discovery

v2.0.5

Published

Humane Discovery

Downloads

7

Readme

Humane Discovery 1.1.9

Humane Discovery product stack aims to solve entire discovery problem space for content (such as exams, jobs), news & media, e-commerce, digital goods products etc. More specifically product approaches the discovery problem in following broad parts --

  • Search based discovery, such as autocomplete, suggested queries, search results, instance searches.
  • Personalised discovery such as recommended products (or posts).
  • Curated discovery such as curated collections or products.
  • Domain specific discovery algorithms such as news one may have missed since last visit.

We call the lowest unit that can be searched, personalised or curated a 'Product'. These can be any of the following --

  • Banners
  • Tabs
  • Categories
  • E-commerce Products
  • Digital Products such as e-books, PDFs
  • Posts such as News, Articles
  • Blog or Articles
  • Discounts
  • Offers
  • Delivery Slots
  • Collections

Search based discovery

  • APIs for
    • Autocomplete,
    • Suggested Queries,
    • Search Results,
    • Instance Search (Search As You Type).
  • Excellent support for fuzzy queries, and vernacular queries.
  • Easy synonyms management (add, update, & remove) without worrying about re-indexing as product takes care of re-indexing or query-expansion itself.
  • Match relevancy algorithm that considers
    • Some fields are more important than others.
    • Matches in single field are better than matches in two separate fields.
    • Phrase matches are better than single field matches.
    • Single field matches in lower weight field are better than matches in two different higher weight field.
  • Product's weight auto-computation from disparate type of signals - views, downloads, add to cart, cart abandonment, purchases, time spent, or any custom events.
  • Multiple ways to compute weight --
    • Weighted signals based weight.
    • Holt Winter's based trend forecast weight.

Personalised discovery [Not Yet Open Sourced]

  • Personalises entire experience based on user profile, past behavior, and geo-location, such as --
    • Banners
    • Tabs
    • Categories
    • E-commerce Products
    • Digital Products such as e-books, PDFs
    • Posts such as News, Articles
    • Blogs or Articles
    • Discounts
    • Offers
    • Delivery Slots
    • Collections
  • Auto learns user preferences based on implicit behaviors.
  • Auto A/B tests new products to learn user preferences.
  • Careful mix of recommendations, curated, A/B test products.
  • Collaborative filtering based discovery algorithms, such as people who bought (or any other signal) X also bought (or any other signal)

Curated discovery [Not Yet Open Sourced]

  • Hand or community curated products or their collections.

Domain specific discovery algorithms [Not Yet Open Sourced]

  • Many domain specific discovery algorithms, such as --
    • News one may have missed since last visit.
    • Popular Products
    • Trending Products
  • Custom algorithms can be composed in functional style.

Data Pipeline

  • A very powerful data pipeline that can import data from variety of sources --
    • CSV Files
    • TSV Files
    • JSON Files
    • Array of JSON
  • Transform or multiplex data through JS functions.
  • Extend data with lookups & mapper
  • Output data to Indexer, as of now (more to come).

How to Install

Follow prerequisites and then install it as global npm module: npm install -g humane-discovery

Prerequisites

  • node - v4.0.0+
  • npm - v2.0.0+
  • You are familiar with npm and know whether or not you need to use sudo when installing packages globally.
  • git - v2.7.0+
  • elasticsearch -v2.1+
  • analysis-phonetic plugin for elasticsearch - <es>/bin/plugin install analysis-phonetic

How to Run

Humane-discovery has two commands - one for cli, another for server

Running Server

Server runs the searcher and indexer API services and cockpit UI.

humane-server --discoveryPlugin <plugin module> --port [PORT] --transliterator [transliterator module]

Below are details on various options -

discoveryPlugin  - Path to single or list of comma separated discovery plugins.
                   Can be name of globally installed module or full path to module directory.
                   Defaults to:
                       1) Current directory - must be a valid node module
                       2) HUMANE_PLUGIN_DISCOVERY environment variable
                       
transliterator   - Path to transliterator plugin (optional).
                   Can be name of globally installed plugin module or full path to plugin directory.
                   Defaults to: HUMANE_PLUGIN_TRANSLITERATOR environment variable
                   
port             - Server Port. Defaults to: 3000                   

Running Cli

CLI provides various utility commands for managing indexes - such as adding (or removing) index, add (or update, delete, upsert) data, import data into index through data pipeline.

humane-cli --discoveryPlugin <plugin module>

Below are details on various options.

discoveryPlugin  - Path to single discovery plugin.
                   Can be name of globally installed module or full path to module directory.
                   Defaults to:
                       1) Current directory - must be a valid node module
                       2) HUMANE_PLUGIN_DISCOVERY environment variable

CLI is a meta-cli, that is CLI generates another CLI based on provided discovery plugin. This way commands are specific to the configured indexes, types, data pipeline. Below is such a sample CLI.

Sample CLI

How to Create Discovery Plugin

  1. Create a new npm module for the plugin.
  2. Add dependency on humane-indexer: npm install --save humane-indexer
  3. Create IndicesConfig.js, SearchConfig.js, and CockpitConfig.js - refer below for details
  1. You can optionally define DataPipelineConfig.js - refer Indexer Configuration for details.
  2. Create a index.js file.
  3. Export following from index.js
  • name of the instance (say exams) as instanceName
  • IndicesConfig.js as indicesConfig
  • SearchConfig.js as searchConfig
  • CockpitConfig.js as cockpitConfig
  • DataPipelineConfig.js as dataPipelineConfig

Sample index.js -

exports.instanceName = 'exams';
exports.dataPipelineConfig = require('./DataPipelineConfig.js');
exports.indicesConfig = require('./IndicesConfig.js');
exports.searchConfig = require('./SearchConfig.js');
exports.cockpitConfig = require('./CockpitConfig.js');
  1. In package.json specify this as 'main':
"main": "./lib/index.js"
  1. If you use ES6, main should refer to babel compiled code for es5. Use following babel presets -
  "babel": {
      "plugins": [
          "transform-runtime"
      ],
      "presets": [
          "es2015"
      ]
  }

API Documentation