Sciweavers

RECSYS
2015
ACM
8 years 3 months ago
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data
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...
Sam Banks, Rachael Rafter, Barry Smyth
RECSYS
2015
ACM
8 years 3 months ago
The Continuous Cold-start Problem in e-Commerce Recommender Systems
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...
RECSYS
2015
ACM
8 years 3 months ago
Image Discovery and Insertion for Custom Publishing
:  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...
Lei Liu, Jerry Liu, Shanchan Wu
RECSYS
2015
ACM
8 years 3 months ago
Letting Users Choose Recommender Algorithms: An Experimental Study
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...
RECSYS
2015
ACM
8 years 3 months ago
Recommendations to Enhance Children Web Searches
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...
Shahrzad Karimi, Maria Soledad Pera
RECSYS
2015
ACM
8 years 3 months ago
Online Recommender Systems based on Data Stream Management Systems
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 ...
Cornelius A. Ludmann
RECSYS
2015
ACM
8 years 3 months ago
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
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...
Tim Donkers, Benedikt Loepp, Jürgen Ziegler 0...
RECSYS
2015
ACM
8 years 3 months ago
Exploiting Reviews to Guide Users' Selections
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...
Nevena Dragovic, Maria Soledad Pera
RECSYS
2015
ACM
8 years 3 months ago
Generic knowledge-based Analysis of Social Media for Recommendations
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...
RECSYS
2015
ACM
8 years 3 months ago
Analysing Compression Techniques for In-Memory Collaborative Filtering
Saúl Vargas, Craig Macdonald, Iadh Ounis