CASIA OpenIR  > 智能感知与计算研究中心
Learning to Hash for Recommendation with Tensor Data
Yin, Qiyue; Wu, Shu; Wang, Liang
Conference NameProc. Asia Pacific Web Conference
Conference Date2015-09-18
Conference PlaceGuangzhou, China
AbstractRecommender systems usually need to compare user interests and item characteristics in the context of large user and item space, making hashing based algorithms a promising strategy to speed up recommendation. Existing hashing based recommendation methods only model the users and items and dealing with the matrix data, e.g., user-item rating matrix. In practice, recommendation scenarios can be rather complex, e.g., collaborative retrieval and personalized tag recommendation. The above scenarios generally need fast search for one type of entities (target entities) using multiple types of entities (source entities). The resulting three or higher order tensor data makes conventional hashing algorithms fail for the above scenarios. In this paper, a novel hashing method is accordingly proposed to solve the above problem, where the tensor data is approached by properly designing the similarities between the source entities and target entities in Hamming space. Besides, operator matrices are further developed to explore the relationship between different types of source entities, resulting in auxiliary codes for source entities. Extensive experiments on two tasks, i.e., personalized tag recommendation and collaborative retrieval, demonstrate that the proposed method performs well for tensor data.
Document Type会议论文
Recommended Citation
GB/T 7714
Yin, Qiyue,Wu, Shu,Wang, Liang. Learning to Hash for Recommendation with Tensor Data[C],2015:292-303.
Files in This Item: Download All
File Name/Size DocType Version Access License
Learning to Hash for(355KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yin, Qiyue]'s Articles
[Wu, Shu]'s Articles
[Wang, Liang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yin, Qiyue]'s Articles
[Wu, Shu]'s Articles
[Wang, Liang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yin, Qiyue]'s Articles
[Wu, Shu]'s Articles
[Wang, Liang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Learning to Hash for Recommendation with Tensor Data.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.