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-file is 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.