In the midst of vast amounts of available fashion items, consumers today require more efficient recommendation services. A system that sorts out items that form a stylish ensemble...
Personalised news recommender systems traditionally rely on content ingested from a select set of publishers and ask users to indicate their interests from a predefined list of t...
Experts are important for providing reliable and authoritative information and opinion, as well as for improving online reviews and services. While considerable previous research ...
Recommender systems (RSs) enhance e-commerce sales by recommending relevant products to their customers. RSs aim at implementing the firm's web-based marketing strategy to in...
In this paper, we evaluate the accuracy of personality-based recommendations using a real-world data set from Amazon.com. We automatically infer the personality traits, needs, and...
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...