lenskit-recommend(1) Manual Page
NAME
lenskit-recommend - recommend items for users.
Synopsis
lenskit [GLOBAL OPTIONS] recommend [OPTIONS] USER…
Description
The recommend command recommends items for some users. It loads a
recommender from a trained model file and/or LensKit configuration
scripts and uses the configured algorithm to produce recommendations.
Options
- USER
-
A user to recommend for.
- --help
-
Show usage help.
- -n N
-
Produce N recommendations. The default is 10.
- -m FILE, --model-file FILE
-
Load a trained recommender engine from FILE.
- -c SCRIPT, --config-file SCRIPT
-
Configure the recommender using SCRIPT. This option can be specified multiple times, and later configurations take precedence over earlier ones. If
--model-fileis also specified, the scripts are used to modify the trained model. - --print-channel CHAN
-
In addition to item scores, also print the value in side channel CHAN.
This command also takes the standard input data options and script environment options.
Project Information
This command is a part of LensKit, an open source recommender systems toolkit
originally developed by GroupLens Research.
Copyright 2010-2016 LensKit contributors (see CONTRIBUTORS.md)
Copyright 2010-2014 Regents of the University of Minnesota
Work on LensKit has been funded by the National Science Foundation under grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
This program is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.