Hybrid Recommendation Base on Learning to Rank

Bin Xie; Xinhuai Tang; Feilong Tang

doi:10.1109/IMIS.2015.13

Hybrid Recommendation Base on Learning to Rank

Bin Xie
, Xinhuai Tang
, Feilong Tang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In order to solve the problem of recommender system using in different scenarios and the ranking of recommendation result, we propose a method using learning to rank for hybrid recommendation. It uses boosting merging algorithm as the base model, Lambda MART algorithm for updating. This makes our ranking model can be updated in real time based on user feedback information. By learning different data from different scenarios, the recommender system can be applied to different applications. In the end, we experiment our hybrid recommendation model by ranking evaluation NDCG.

Original language	English
Title of host publication	Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015
Editors	Francesco Palmieri, Leonard Barolli, Helio Dos Santos Silva, Hsing-Chung Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	53-57
Number of pages	5
ISBN (Electronic)	9781479988730
DOIs	https://doi.org/10.1109/IMIS.2015.13
State	Published - 30 Sep 2015
Externally published	Yes
Event	9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015 - Blumenau, Santa Catarina, Brazil Duration: 8 Jul 2015 → 10 Jul 2015

Publication series

Name	Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015

Conference

Conference	9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015
Country/Territory	Brazil
City	Blumenau, Santa Catarina
Period	8/07/15 → 10/07/15

Keywords

Boosting merging algorithm
Hybrid recommendation
Lambda MART algorithm
Learning to Rank
NDCG

Access to Document

10.1109/IMIS.2015.13

Cite this

Xie, B., Tang, X., & Tang, F. (2015). Hybrid Recommendation Base on Learning to Rank. In F. Palmieri, L. Barolli, H. Dos Santos Silva, & H.-C. Chen (Eds.), Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015 (pp. 53-57). Article 7284927 (Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMIS.2015.13

Xie, Bin ; Tang, Xinhuai ; Tang, Feilong. / Hybrid Recommendation Base on Learning to Rank. Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015. editor / Francesco Palmieri ; Leonard Barolli ; Helio Dos Santos Silva ; Hsing-Chung Chen. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 53-57 (Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015).

@inproceedings{7677eea40cd443ec957b1abd5d21418d,

title = "Hybrid Recommendation Base on Learning to Rank",

abstract = "In order to solve the problem of recommender system using in different scenarios and the ranking of recommendation result, we propose a method using learning to rank for hybrid recommendation. It uses boosting merging algorithm as the base model, Lambda MART algorithm for updating. This makes our ranking model can be updated in real time based on user feedback information. By learning different data from different scenarios, the recommender system can be applied to different applications. In the end, we experiment our hybrid recommendation model by ranking evaluation NDCG.",

keywords = "Boosting merging algorithm, Hybrid recommendation, Lambda MART algorithm, Learning to Rank, NDCG",

author = "Bin Xie and Xinhuai Tang and Feilong Tang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015 ; Conference date: 08-07-2015 Through 10-07-2015",

year = "2015",

month = sep,

day = "30",

doi = "10.1109/IMIS.2015.13",

language = "英语",

series = "Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "53--57",

editor = "Francesco Palmieri and Leonard Barolli and \{Dos Santos Silva\}, Helio and Hsing-Chung Chen",

booktitle = "Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015",

address = "美国",

}

Xie, B, Tang, X & Tang, F 2015, Hybrid Recommendation Base on Learning to Rank. in F Palmieri, L Barolli, H Dos Santos Silva & H-C Chen (eds), Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015., 7284927, Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015, Institute of Electrical and Electronics Engineers Inc., pp. 53-57, 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015, Blumenau, Santa Catarina, Brazil, 8/07/15. https://doi.org/10.1109/IMIS.2015.13

Hybrid Recommendation Base on Learning to Rank. / Xie, Bin; Tang, Xinhuai; Tang, Feilong.
Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015. ed. / Francesco Palmieri; Leonard Barolli; Helio Dos Santos Silva; Hsing-Chung Chen. Institute of Electrical and Electronics Engineers Inc., 2015. p. 53-57 7284927 (Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tang, Feilong

PY - 2015/9/30

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N2 - In order to solve the problem of recommender system using in different scenarios and the ranking of recommendation result, we propose a method using learning to rank for hybrid recommendation. It uses boosting merging algorithm as the base model, Lambda MART algorithm for updating. This makes our ranking model can be updated in real time based on user feedback information. By learning different data from different scenarios, the recommender system can be applied to different applications. In the end, we experiment our hybrid recommendation model by ranking evaluation NDCG.

AB - In order to solve the problem of recommender system using in different scenarios and the ranking of recommendation result, we propose a method using learning to rank for hybrid recommendation. It uses boosting merging algorithm as the base model, Lambda MART algorithm for updating. This makes our ranking model can be updated in real time based on user feedback information. By learning different data from different scenarios, the recommender system can be applied to different applications. In the end, we experiment our hybrid recommendation model by ranking evaluation NDCG.

KW - Boosting merging algorithm

KW - Hybrid recommendation

KW - Lambda MART algorithm

KW - Learning to Rank

KW - NDCG

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DO - 10.1109/IMIS.2015.13

M3 - 会议稿件

AN - SCOPUS:84959299987

T3 - Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015

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BT - Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015

A2 - Palmieri, Francesco

A2 - Barolli, Leonard

A2 - Dos Santos Silva, Helio

A2 - Chen, Hsing-Chung

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015

Y2 - 8 July 2015 through 10 July 2015

ER -

Xie B, Tang X, Tang F. Hybrid Recommendation Base on Learning to Rank. In Palmieri F, Barolli L, Dos Santos Silva H, Chen HC, editors, Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 53-57. 7284927. (Proceedings - 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015). doi: 10.1109/IMIS.2015.13

Hybrid Recommendation Base on Learning to Rank

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