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RECSYS
2015
ACM
8 years 3 months ago
Two-Stage Approach to Item Recommendation from User Sessions
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 ...
Maksims Volkovs
RECSYS
2015
ACM
8 years 3 months ago
Towards Automatic Meal Plan Recommendations for Balanced Nutrition
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 ...
David Elsweiler, Morgan Harvey
RECSYS
2015
ACM
8 years 3 months ago
Exploring Statistical Language Models for Recommender Systems
Even though there exist multiple approaches to build recommendation algorithms, algebraic techniques based on vector and matrix representations are predominant in the field. Notw...
Daniel Valcarce
RECSYS
2015
ACM
8 years 3 months ago
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations
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...
Michal Aharon, Oren Anava, Noa Avigdor-Elgrabli, D...
RECSYS
2015
ACM
8 years 3 months ago
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary
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...
Mickaël Poussevin, Vincent Guigue, Patrick Ga...
RECSYS
2015
ACM
8 years 3 months ago
Towards Improving Top-N Recommendation by Generalization of SLIM
Santiago Larrain, Denis Parra, Alvaro Soto
RECSYS
2015
ACM
8 years 3 months ago
Fostering Knowledge Exchange Using Group Recommendations
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...
Alexander Felfernig, Martin Stettinger, Gerhard Le...
RECSYS
2015
ACM
8 years 3 months ago
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity
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...
Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, Dav...
RECSYS
2015
ACM
8 years 3 months ago
Putting Users in Control of their Recommendations
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...
F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Ky...
RECSYS
2015
ACM
8 years 3 months ago
Next Basket Recommendation with Neural Networks
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 ...
Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng G...