Accepted Demos

LensKit: A Modular Recommender Framework
by Michael D. Ekstrand, Michael Ludwig, Jack Kolb, John T. Riedl
LensKit is a new recommender systems toolkit aiming to be a platform for recommender research and education. It provides a common API for recommender systems, modular implementations of several collaborative filtering algorithms, and an evaluation framework for consistent, reproducible offline evaluation of recommender algorithms. In this demo, we will showcase the ease with which LensKit allows recommenders to be configured and evaluated.

myMicSound: An Online Sound-Based Microphone Recommendation System
by Andrew T. Sabin, Chun Liang Chan

Recommenders Benchmark Framework
by Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel
In this demo we present a recommender benchmark framework that serves as an infrastructure for comparing and examining the performance and feasibility of different recommender algorithms on various datasets with a variety of measures. The extendable infrastructure aims to provide easy plugging of novel recommendation-algorithms, datasets and compare their performance using visual tools and metrics with other algorithms in the benchmark. It also aims at generating a WEKA-type workbench for the recommender systems field to enable usage and application of common recommender systems (RS) algorithms for research and practice. The demo movie is available at: http://www.youtube.com/watch?v=fsDITf6s0WY

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