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A Survey on Semantic Search in E-Commerce Website Ranking

Author

Listed:
  • Kaviya. M
  • Siddique Ibrahim S. P
  • Kirubakaran

Abstract

In this speedy life everybody need an immediate answers for their searches in websites .In this scenario semantic search engines will be helpful. It deals with the actual meaning of the queries. Searched by keyword and do not understand its meaning are some reasons why the traditional search engine is not suitable anymore. Semantic web search technologies (like Google Knowledge Graph)is emerging into the answer engine market to transform the unstructured data into structured data. The proposed search engine is user-friendly and gives right-to-the-point result .The E-commerce industry has grown rapidly and everyone started using it, like online shopping (flip kart). Even though it is the emerging trend, it has some defects like comparison of price between different E-commerce websites, compare weakness and strength between the competitors. In this research, Semantic and neural based page ranking algorithm is used to overcome this defects.

Suggested Citation

  • Kaviya. M & Siddique Ibrahim S. P & Kirubakaran, 2017. "A Survey on Semantic Search in E-Commerce Website Ranking," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 869-872, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722275
    Note: Article URL: https://ijsrcseit.com/CSEIT1722275
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