This paper describes a casual Facebook game to capture recommendation data as a side-effect of gameplay. We show how this data can be used to make successful recommendations as p...
Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available on this u...
Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melani...
: Image Discovery and Insertion for Custom Publishing Lei Liu, Jerry Liu, Shanchan Wu HP Laboratories HPL-2015-78 Image Recommendation; Custom Publishing Images in reading mate...
Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases....
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Har...
We present the initial design and development of KidsQR, a query recommendation system tailored exclusively for children. KidsQR aids children in their quest for online informatio...
In this paper, I present a novel approach for implementing a stream-based Recommender System (RecSys). I propose to add RecSys operators to an application-independent Data Stream ...
We describe a novel approach that integrates user-generated tags with standard Matrix Factorization to allow users to interactively control recommendations. The tag information is...
We introduce HRS, a recommender that exploits user reviews and identifies the features that are most likely appealing to users. HRS incorporates this knowledge into the recommenda...
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge-based recommender systems are used to match user...
Victor de Graaff, Anne van de Venis, Maurice van K...