Cosine Similarity Function For The Temporal Dynamic Web Data

Abstract

Cosine similarity function is one of the most popular similarity function for handling the web data in various applications such as recommender system, collaborative filtering algorithms, classification algorithms, etc. Cosine similarity function calculates the similarity between the items as an angle between the vectors representing the two items. The smaller angle is for more similar items. In this paper, a new cosine similarity function is proposed that incorporates the temporal dynamic nature of the web data when calculating the similarity and provide more accurate results.

Authors and Affiliations

Meghna Khatri

Keywords

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  • EP ID EP140514
  • DOI -
  • Views 149
  • Downloads 0

How To Cite

Meghna Khatri (2012). Cosine Similarity Function For The Temporal Dynamic Web Data. International Journal of Computer Science & Engineering Technology, 3(8), 315-318. https://europub.co.uk/articles/-A-140514