.\" DO NOT MODIFY THIS FILE!  It was generated by help2man 1.47.4.
.TH INFO: "1" "June 2016" "INFO: Set up logger" "User Commands"
.SH NAME
apprecommender \- Application Recommender for Debian Systems
.SH DESCRIPTION
A recommender system for Debian packages. To make a recommendation, this
application gathers the packages installed through apt and create an user
profile based on them. This profile is then used to search for useful packages
for a user.

This package provides several content-based recommendations approach and each
one should provide different recommendations from the others.
.IP
.SH GENERAL COMMANDS
.TP
\fB\-h\fR, \fB\-\-help\fR
Print this help
.TP
\fB\-i\fR, \fB\-\-init\fR
Initialize AppRecommender data by indexing the searchable packages in a Xapian database
.TP
\fB\-t\fR, \fB\-\-train\fR
Make training of AppRecommender machine learning strategies.
.TP
\fB\-s\fR, \fB\-\-strategy\fR=\fI\,OPTION\/\fR
Set recommendation strategy. If this flag is not used, the default strategy \fBcb\fR will be used as the default strategy value.

.SH RECOMMENDATION STRATEGY OPTIONS
.TP
cb = content\-based, mixed profile
.TP
cbt = content\-based, tags only profile
.TP
cbd = content\-based, description terms only profile
.TP
cbh = content\-based, half\-half profile
.TP
cbtm = content\-based, time\-context profile
.TP
cb_eset = cb with eset profiling
.TP
cbt_eset = cbt with eset profiling
.TP
cbd_eset = cbd_eset with eset profiling
.TP
cbh_eset = cbh with eset profiling
.TP
mlbva = machine_learning, Binary Vector Approach
.TP
mlbva_eset = machine_learning, Binary Vector Approach with eset profiling
.TP
mlbow = machine_learning, Bag Of Words
.TP
mlbow = machine_learning, Bag Of Words with eset profiling

.SH "SEE ALSO"
The full documentation for
.B INFO:
is maintained as a Texinfo manual.  If the
.B info
and
.B INFO:
programs are properly installed at your site, the command
.IP
.B info INFO:
.PP
should give you access to the complete manual.