Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user.

Quick Start

The playground mode has been prepared for beginners. Just set up a recommender system for GitHub repositories by following the commands.

curl -fsSL https://gorse.io/playground | bash

docker run -p 8088:8088 zhenghaoz/gorse-in-one --playground

The playground mode will download data from GitRec and import it into Gorse. The dashboard is available at http://localhost:8088.

After the "Find neighbors of items" task is completed on the "Tasks" page, try to insert several feedbacks into Gorse. Suppose Bob is a frontend developer who starred several frontend repositories in GitHub. We insert his star feedback to Gorse.

read -d '' JSON << EOF
[
    { \"FeedbackType\": \"star\", \"UserId\": \"bob\", \"ItemId\": \"vuejs:vue\", \"Timestamp\": \"2022-02-24\" },
    { \"FeedbackType\": \"star\", \"UserId\": \"bob\", \"ItemId\": \"d3:d3\", \"Timestamp\": \"2022-02-25\" },
    { \"FeedbackType\": \"star\", \"UserId\": \"bob\", \"ItemId\": \"dogfalo:materialize\", \"Timestamp\": \"2022-02-26\" },
    { \"FeedbackType\": \"star\", \"UserId\": \"bob\", \"ItemId\": \"mozilla:pdf.js\", \"Timestamp\": \"2022-02-27\" },
    { \"FeedbackType\": \"star\", \"UserId\": \"bob\", \"ItemId\": \"moment:moment\", \"Timestamp\": \"2022-02-28\" }
]
EOF

curl -X POST http://127.0.0.1:8088/api/feedback \
   -H 'Content-Type: application/json' \
   -d "$JSON"

import "github.com/zhenghaoz/gorse/client"

gorse := client.NewGorseClient("http://127.0.0.1:8088", "")

gorse.InsertFeedback([]client.Feedback{
    {FeedbackType: "star", UserId: "bob", ItemId: "vuejs:vue", Timestamp: "2022-02-24"},
    {FeedbackType: "star", UserId: "bob", ItemId: "d3:d3", Timestamp: "2022-02-25"},
    {FeedbackType: "star", UserId: "bob", ItemId: "dogfalo:materialize", Timestamp: "2022-02-26"},
    {FeedbackType: "star", UserId: "bob", ItemId: "mozilla:pdf.js", Timestamp: "2022-02-27"},
    {FeedbackType: "star", UserId: "bob", ItemId: "moment:moment", Timestamp: "2022-02-28"},
})

from gorse import Gorse

client = Gorse('http://127.0.0.1:8088', '')

client.insert_feedbacks([
    { 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'vuejs:vue', 'Timestamp': '2022-02-24' },
    { 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'd3:d3', 'Timestamp': '2022-02-25' },
    { 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'dogfalo:materialize', 'Timestamp': '2022-02-26' },
    { 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'mozilla:pdf.js', 'Timestamp': '2022-02-27' },
    { 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'moment:moment', 'Timestamp': '2022-02-28' }
])

import { Gorse } from "gorsejs";

const client = new Gorse({ endpoint: "http://127.0.0.1:8088", secret: "" });

await client.insertFeedbacks([
    { FeedbackType: 'star', UserId: 'bob', ItemId: 'vuejs:vue', Timestamp: '2022-02-24' },
    { FeedbackType: 'star', UserId: 'bob', ItemId: 'd3:d3', Timestamp: '2022-02-25' },
    { FeedbackType: 'star', UserId: 'bob', ItemId: 'dogfalo:materialize', Timestamp: '2022-02-26' },
    { FeedbackType: 'star', UserId: 'bob', ItemId: 'mozilla:pdf.js', Timestamp: '2022-02-27' },
    { FeedbackType: 'star', UserId: 'bob', ItemId: 'moment:moment', Timestamp: '2022-02-28' }
]);

import io.gorse.gorse4j.*;

Gorse client = new Gorse(GORSE_ENDPOINT, GORSE_API_KEY);

List<Feedback> feedbacks = List.of(
        new Feedback("star", "bob", "vuejs:vue", "2022-02-24"),
        new Feedback("star", "bob", "d3:d3", "2022-02-25"),
        new Feedback("star", "bob", "dogfalo:materialize", "2022-02-26"),
        new Feedback("star", "bob", "mozilla:pdf.js", "2022-02-27"),
        new Feedback("star", "bob", "moment:moment", "2022-02-28")
);
client.insertFeedback(feedbacks);

use gorse_rs::{Feedback, Gorse};

let client = Gorse::new("http://127.0.0.1:8088", "");

let feedback = vec![
    Feedback::new("star", "bob", "vuejs:vue", "2022-02-24"),
    Feedback::new("star", "bob", "d3:d3", "2022-02-25"),
    Feedback::new("star", "bob", "dogfalo:materialize", "2022-02-26"),
    Feedback::new("star", "bob", "mozilla:pdf.js", "2022-02-27"),
    Feedback::new("star", "bob", "moment:moment", "2022-02-28")
];
client.insert_feedback(&feedback).await;

require 'gorse'

client = Gorse.new('http://127.0.0.1:8088', 'api_key')

client.insert_feedback([
    Feedback.new("star", "bob", "vuejs:vue", "2022-02-24"),
    Feedback.new("star", "bob", "d3:d3", "2022-02-25"),
    Feedback.new("star", "bob", "dogfalo:materialize", "2022-02-26"),
    Feedback.new("star", "bob", "mozilla:pdf.js", "2022-02-27"),
    Feedback.new("star", "bob", "moment:moment", "2022-02-28")
])

$client = new Gorse("http://127.0.0.1:8088/", "api_key");

$rowsAffected = $client->insertFeedback([
    new Feedback("star", "bob", "vuejs:vue", "2022-02-24"),
    new Feedback("star", "bob", "d3:d3", "2022-02-25"),
    new Feedback("star", "bob", "dogfalo:materialize", "2022-02-26"),
    new Feedback("star", "bob", "mozilla:pdf.js", "2022-02-27"),
    new Feedback("star", "bob", "moment:moment", "2022-02-28")
]);

using Gorse.NET;

var client = new Gorse("http://127.0.0.1:8087", "api_key");

client.InsertFeedback(new Feedback[]
{
    new Feedback{FeedbackType="star", UserId="bob", ItemId="vuejs:vue", Timestamp="2022-02-24"},
    new Feedback{FeedbackType="star", UserId="bob", ItemId="d3:d3", Timestamp="2022-02-25"},
    new Feedback{FeedbackType="star", UserId="bob", ItemId="dogfalo:materialize", Timestamp="2022-02-26"},
    new Feedback{FeedbackType="star", UserId="bob", ItemId="mozilla:pdf.js", Timestamp="2022-02-27"},
    new Feedback{FeedbackType="star", UserId="bob", ItemId="moment:moment", Timestamp="2022-02-28"},
});

Then, fetch 10 recommended items from Gorse. We can find that frontend-related repositories are recommended for Bob.

curl http://127.0.0.1:8088/api/recommend/bob?n=10

gorse.GetRecommend("bob", "", 10)

client.get_recommend('bob', n=10)

await client.getRecommend({ userId: 'bob', cursorOptions: { n: 10 } });

client.getRecommend("bob");

client.get_recommend("bob").await;

client.get_recommend('10')

$client->getRecommend('10');

client.GetRecommend("10");

[
  "mbostock:d3",
  "nt1m:material-framework",
  "mdbootstrap:vue-bootstrap-with-material-design",
  "justice47:f2-vue",
  "10clouds:cyclejs-cookie",
  "academicpages:academicpages.github.io",
  "accenture:alexia",
  "addyosmani:tmi",
  "1wheel:d3-starterkit",
  "acdlite:redux-promise"
]

The exact output might be different from the example since the playground dataset changes over time.