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ORCIDRecSys 2015: Vienna, Austria - Challenge
- David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira:
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015. ACM 2015, ISBN 978-1-4503-3665-9 - Peter Romov, Evgeny Sokolov:
RecSys Challenge 2015: ensemble learning with categorical features. 1:1-1:4 - Peng Yan, Xiaocong Zhou, Yitao Duan:
E-Commerce Item Recommendation Based on Field-aware Factorization Machine. 2:1-2:4 - Maksims Volkovs:
Two-Stage Approach to Item Recommendation from User Sessions. 3:1-3:4 - Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr:
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. 4:1-4:4 - Øyvind H. Myklatun, Thorstein K. Thorrud, Hai Thanh Nguyen, Helge Langseth, Anders Kofod-Petersen:
Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data. 5:1-5:4 - Pouya Esmailian, Mahdi Jalili
:
Purchase Prediction and Item Suggestion based on HTTP sessions in absence of User Information. 6:1-6:4 - A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen:
An ensemble approach for multi-label classification of item click sequences. 7:1-7:4 - Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. 8:1-8:4 - Wenliang Chen, Zhenghua Li, Min Zhang:
Linear and Non-Linear Models for Purchase Prediction. 9:1-9:4 - Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann:
In-House Solution for the RecSys Challenge 2015. 10:1-10:4 - Tzu-Chun Lin, Xia Ning:
Multi-Perspective Modeling for Click Event Prediction. 11:1-11:4 - Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh:
Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns. 12:1-12:4
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