A Boosting Algorithm for Item Recommendation with Implicit Feedback

Liu, Yong; Zhao, Peilin; Sun, Aixin; Miao, Chunyan

A Boosting Algorithm for Item Recommendation with Implicit Feedback

Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1792-1797.

Abstract

Many recommendation tasks are formulated as top-N item recommendation problems based on users' implicit feedback instead of explicit feedback. Here explicit feedback refers to users' ratings to items while implicit feedback is derived from users' interactions with items, e.g., number of times a user plays a song. In this paper, we propose a boosting algorithm named AdaBPR (Adaptive Boosting Personalized Ranking) for top-N item recommendation using users' implicit feedback. In the proposed framework, multiple homogeneous component recommenders are linearly combined to create an ensemble model, for better recommendation accuracy. The component recommenders are constructed based on a fixed collaborative filtering algorithm by using a re-weighting strategy, which assigns a dynamic weight distribution on the observed user-item interactions. AdaBPR demonstrates its effectiveness on three datasets compared with strong baseline algorithms.

Yong Liu, Peilin Zhao, Aixin Sun, and Chunyan Miao. 2015. A Boosting Algorithm for Item Recommendation with Implicit Feedback. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 1792–1797. https://ijcai.org/proceedings/2015/255

@inproceedings{ijcai2015p255,
  title     = {A Boosting Algorithm for Item Recommendation with Implicit Feedback},
  author    = {Liu, Yong and Zhao, Peilin and Sun, Aixin and Miao, Chunyan},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {1792--1797},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/255},
}

TY  - CPAPER
TI  - A Boosting Algorithm for Item Recommendation with Implicit Feedback
AU  - Liu, Yong
AU  - Zhao, Peilin
AU  - Sun, Aixin
AU  - Miao, Chunyan
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 1792
EP  - 1797
UR  - https://ijcai.org/proceedings/2015/255
ER  -