2017/05/02 by Mohamed Aboeleinen, Aboeleinen, Mohamed, Atiq Islam +1
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI) #Web Data Mining and Analysis
paper · pdf · doi:10.48550/arxiv.1705.01410
openalex publication_date 2017/05/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Web is now the undisputed warehouse for information. It can now provide most of the answers for modern problems. Search engines do a great job by combining and ranking the best results when the users try to search for any particular information. However, as we know 'with great power comes great responsibility', it is not an easy task for data analysts to find the most relevant information for the queries. One major challenge is that web search engines face difficulties in recognizing users' specific search interests given his initial query. In this project, we have tried to build query networks from web search engine query logs, with the nodes representing queries and the edges exhibiting the semantic relatedness between Queries.