RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
We present our solution to the 2015 RecSys Challenge [1]. This challenge was based on a large scale dataset of over 9.2 million user-item click sessions from an online e-commerce ...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
Food recommenders have been touted as a useful tool to help people achieve a healthy diet. Here we incorporate nutrition into the recommender problem by examining the feasibility ...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
Even though there exist multiple approaches to build recommendation algorithms, algebraic techniques based on vector and matrix representations are predominant in the field. Notw...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
The item cold-start problem is of a great importance in collaborative filtering (CF) recommendation systems. It arises when new items are added to the inventory and the system ca...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
We propose to augment rating based recommender systems by providing the user with additional information which might help him in his choice or in the understanding of the recommen...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
The more domain knowledge individual participants of a group decision process share with each other, the higher the probability of high-quality decision outcomes. In this paper we...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
Location recommendation is an important feature of social network applications and location-based services. Most existing studies focus on developing one single method or model fo...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
The essence of a recommender system is that it can recommend items personalized to the preferences of an individual user. But typically users are given no explicit control over th...
RECSYS
2015
ACM
8 years 9 months ago
2015
ACM
One crucial task in recommendation is to predict what a user will buy next given her shopping history. In this paper, we propose a novel neural network to complete this task. The ...