Search Query Data Analysis: Challenges and Opportunities

EasyChair Preprint 3157

Abstract

In the light of tremendous growth of the amount of information available in the Internet over the last decade, effective use of query data technologies have become the basis of competition. The article addresses the issues of how to gain a deeper understanding of the technology trends to effectively deal with large volumes of data as well as use algorithms to provide the accuracy of results. It then considers the prospects and challenges regarding the user’s ability to summarize the essential properties of data retrieval, and puts forward appropriate techniques to achieving these objectives focusing on the natural language processing in information retrieval. Following that, the paper presents a comprehensive approach for search queries taking into account the wider content of search based on the collection, transmission, storage analysis, storage and display of information.

Keyphrases: Internet resource, cluster, semantic search

@booklet{EasyChair:3157,
  author    = {Olena Pavlenko and Iryna Tymofieieva},
  title     = {Search Query Data Analysis: Challenges and Opportunities},
  howpublished = {EasyChair Preprint 3157},
  year      = {EasyChair, 2020}}