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The project involves in scraping the data from JavaWikibooks and storing them on elastic search API and later a webpage for recommending the top 10 recommendations for each stack overflow post based on ElasticSearch search score

JavaScript 10.12% CSS 59.57% HTML 30.31%

content-recommender's Introduction

Content Recommender

A basic tool which on user login provides 10 stack overflow issues wherein when a user selects one of the links the tool recommends 10 Java Tutorials related to the issue.

Tasks Involved:

  • Scraping data from Java Wikibooks and storing it on ElasticSearch for Indexing
  • Getting keywords from the stack overflow posts and searching it on ElasticSearch using ElasticSearch API
  • Displaying the top 10 results on the webpage based on the score on the DB

content-recommender's People

Contributors

praneethganta avatar

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