Configuration

These configuration items without default values must be filled. It's highly recommended to create a new config file based on the configuration template. The "description" for each option links to the detailed usage of this option.

database

Key	Type	Default	Description
data_store	string		Database for data storage, supports MySQL, PostgreSQL, ClickHouse and MongoDB.
cache_store	string		Database for cache storage, supports MySQL, PostgreSQL, MongoDB and Redis.
table_prefix	string		Naming prefix for tables (collections, keys) in databases.
cache_table_prefix	string		Naming prefix for tables (collections, keys) in cache storage databases. If empty, table_prefix is used.
data_table_prefix	string		Naming prefix for tables (collections, keys) in data storage databases. If empty, table_prefix is used.

The DSN (Database Source Name) format of the data_store and cache_store is as follows.

# TCP Connection
redis://<user>:<password>@<host>:<port>/<db_number>

# TLS Connection
rediss://<user>:<password>@<host>:<port>/<db_number>

# TCP Connection to Redis Cluster
redis+cluster://<user>:<password>@<host>:<port>/<db_number>

Document: https://pkg.go.dev/github.com/go-redis/redis/v8#ParseURL

mysql://[username[:password]@][protocol[(hostname:port)]]/database[?config1=value1&...configN=valueN]

Document: https://github.com/go-sql-driver/mysql#dsn-data-source-name

# Option 1
postgres://bob:secret@1.2.3.4:5432/mydb?sslmode=verify-full

# Option 2
postgresql://bob:secret@1.2.3.4:5432/mydb?sslmode=verify-full

Document: https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING

# Standard Connection
mongodb://[username:password@]hostname1[:port1][,... hostnameN[:portN]]][/[database][?options]]

# DNS Seed List Connection
mongodb+srv://server.example.com/

Document: https://www.mongodb.com/docs/manual/reference/connection-string/

# HTTP Connection (Option 1)
clickhouse://user:password@host[:port]/database?param1=value1&...&paramN=valueN

# HTTP Connection (Option 2)
chhttp://user:password@host[:port]/database?param1=value1&...&paramN=valueN

# HTTPS Connection
chhttps://user:password@host[:port]/database?param1=value1&...&paramN=valueN

Document: https://github.com/mailru/go-clickhouse#dsn

master

Key	Type	Default	Description
host	string	"0.0.0.0"	Master node listening host for gRPC service (metadata exchange)
port	integer	8086	Master node listening port for gRPC service (metadata exchange)
http_host	string	"0.0.0.0"	Master node listening host for HTTP service (dashboard and metrics)
http_port	integer	8088	Master node listening port for HTTP service (dashboard and metrics)
n_jobs	integer	1	Number of working threads for the master node
meta_timeout	integer	10s	Metadata timeout
dashboard_user_name	string		Dashboard login username
dashboard_password	string		Dashboard login password

server

Key	Type	Default	Description
default_n	integer	10	Default number of returned items
api_key	string		Secret key for RESTful APIs (SSL required)
clock_error	integer	5s	Clock error in the cluster
auto_insert_user	boolean	true	Automatically insert new users when inserting new feedback
auto_insert_item	boolean	true	Automatically insert new items when inserting new feedback
cache_expire	string	10s	Server-side cache expire time

recommend

Key	Type	Default	Description
cache_size	string	100	Number of cached elements in cache store
cache_expire	string	72h	Recommended cache expire time

recommend.data_source

Key	Type	Default	Description
positive_feedback_types	string		Types of positive feedback
read_feedback_types	string		Type of read feedback
positive_feedback_ttl	string	0	Time-to-live of positive feedback
item_ttl	string	0	Time-to-live of items

recommend.popular

Key	Type	Default	Description
popular_window	integer	4320h	Time window of popular items in days

recommend.user_neighbors

Key	Type	Default	Description
neighbor_type	string	"auto"	The type of neighbors for users
enable_index	boolean	false	Enable approximate item neighbor searching using clustering index
index_recall	float	0.8	Minimal recall for approximate item neighbor searching
index_fit_epoch	integer	3	Maximal number of fit epochs for approximate item neighbor searching clustering index

recommend.item_neighbors

Key	Type	Default	Description
neighbor_type	string	"auto"	The type of neighbors for items
enable_index	boolean	false	Enable approximate item neighbor searching using clustering index
index_recall	float	0.8	Minimal recall for approximate user neighbor searching
index_fit_epoch	integer	3	Maximal number of fit epochs for approximate user neighbor searching clustering index

recommend.collaborative

Key	Type	Default	Description
model_fit_period	integer	60m	Period of model training
model_search_period	integer	360m	Period of model search
model_search_epoch	integer	100	Number of training epochs for each model in model search
model_search_trials	integer	10	Number of trials for each model in model search
enable_model_size_search	boolean	false	Enable searching models of different sizes, which consume more memory
enable_index	boolean	false	Enable approximate collaborative filtering recommend using HNSW index
index_recall	float	0.9	Minimal recall for approximate collaborative filtering recommend
index_fit_epoch	integer	3	Maximal number of fit epochs for approximate collaborative filtering recommend HNSW index

recommend.replacement

Key	Type	Default	Description
enable_replacement	boolean	false	Replace historical items back to recommendations
positive_replacement_decay	float	0.8	Decay the weights of replaced items from positive feedbacks
read_replacement_decay	float	0.6	Decay the weights of replaced items from read feedbacks

recommend.offline

Key	Type	Default	Description
check_recommend_period	integer	1m	Period to check recommendation for users
refresh_recommend_period	integer	24h	Period to refresh offline recommendation cache
enable_latest_recommend	boolean	false	Enable latest recommendation during offline recommendation
enable_popular_recommend	boolean	false	Enable popular recommendation during offline recommendation
enable_user_based_recommend	boolean	false	Enable user-based similarity recommendation during offline recommendation
enable_item_based_recommend	boolean	false	Enable item-based similarity recommendation during offline recommendation
enable_collaborative_recommend	boolean	true	Enable collaborative filtering recommendation during offline recommendation
enable_click_through_prediction	boolean	false	Enable click-though rate prediction during offline recommendation. Otherwise, results from multi-way recommendation would be merged randomly
explore_recommend	map	{ popular = 0.0, latest = 0.0 }	The explore recommendation method is used to inject popular items or latest items into recommended result

recommend.online

Key	Type	Default	Description
fallback_recommend	strings	["latest"]	Source of recommendation when personalized recommendation exhausted
num_feedback_fallback_item_based	integer	10	The number of feedback used in fallback item-based similar recommendation

Environment Variables

Part of configurations can be overwritten by environment variables.

Configuration	Environment Variable
database.cache_store	GORSE_CACHE_STORE
database.data_store	GORSE_DATA_STORE
database.table_prefix	GORSE_TABLE_PREFIX
database.cache_table_prefix	GORSE_CACHE_TABLE_PREFIX
database.data_table_prefix	GORSE_DATA_TABLE_PREFIX
master.port	GORSE_MASTER_PORT
master.host	GORSE_MASTER_HOST
master.http_port	GORSE_MASTER_HTTP_PORT
master.http_host	GORSE_MASTER_HTTP_HOST
master.n_jobs	GORSE_MASTER_JOBS
master.dashboard_user_name	GORSE_DASHBOARD_USER_NAME
master.dashboard_password	GORSE_DASHBOARD_PASSWORD
server.api_key	GORSE_SERVER_API_KEY