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Found 4 papers, 0 papers with code
How Researchers Could Obtain Quick and Cheap User Feedback on their Algorithms Without Having to Operate their Own Recommender System
We present work in progress on an evaluation tool that implements a novel paradigm that enables user-centric evaluations of recommendation algorithms without access to an operational recommender system.
On Gossip-based Information Dissemination in Pervasive Recommender Systems
In order to address both, we propose Propagate and Filter, a method that translates the traditional approach of finding similar peers and exchanging item preferences among each other from the field of decentralized to that of pervasive recommender systems.
Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems
In this paper, we argue that the user's smartphone already holds a lot of the data that feeds into typical recommender systems for movies, music, or POIs.
The Corpus Replication Task
In the field of Natural Language Processing (NLP), we revisit the well-known word embedding algorithm word2vec.
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