Research for Cold-Start Problem in Network-Based Recommendation Algorithm

Li Min Liu; Chen Yang Zhang; Zhi Qiang Ma; Yu Hong Xiao

doi:10.4028/www.scientific.net/AMM.462-463.861

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 462-463Research for Cold-Start Problem in Network-Based...

Research for Cold-Start Problem in Network-Based Recommendation Algorithm

Abstract:

Network-based recommendation algorithm presents a good recommended result in many aspects. The algorithm is also facing the problem of cold-start. This paper proposes a solution for cold-start problem which makes use of an algorithm based on items similarity to calculate the similarity between the new item and other items in the system, and then link the new item to the user-item matrix. Finally the new items can be recommended to users by the network-based recommendation algorithm what the traditional network-based recommendation algorithm can't do. Therefore, the problem is solved on certain degree.

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Periodical:

Applied Mechanics and Materials (Volumes 462-463)

Pages:

861-867

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.462-463.861

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Online since:

November 2013

Authors:

Li Min Liu, Chen Yang Zhang*, Zhi Qiang Ma, Yu Hong Xiao

Keywords:

Cold-Start, Item Similarity Model, Network Recommendation Algorithm

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* - Corresponding Author

References

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