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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015.
注意,当前年度会议可能有其他论文集合,点击查看
RecSys Challenge 2015: ensemble learning with categorical features.

Peter Romov, Evgeny Sokolov

E-Commerce Item Recommendation Based on Field-aware Factorization Machine.

Peng Yan, Xiaocong Zhou, Yitao Duan

Two-Stage Approach to Item Recommendation from User Sessions.

Maksims Volkovs

Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization.

Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr

Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data.

Øyvind H. Myklatun, Thorstein K. Thorrud, Hai Thanh Nguyen, Helge Langseth, Anders Kofod-Petersen

Purchase Prediction and Item Suggestion based on HTTP sessions in absence of User Information.

Pouya Esmailian, Mahdi Jalili

An ensemble approach for multi-label classification of item click sequences.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling.

Chanyoung Park, Dong Hyun Kim, Jinoh Oh, Hwanjo Yu

Linear and Non-Linear Models for Purchase Prediction.

Wenliang Chen, Zhenghua Li, Min Zhang

In-House Solution for the RecSys Challenge 2015.

Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann

Multi-Perspective Modeling for Click Event Prediction.

Tzu-Chun Lin, Xia Ning

Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns.

Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh


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