A framework to recommend appropriate learning materials from stack overflow discussions

Ashesh Iqbal, Mohammad Shamsul Arefin, Mohammad Ali Akber Dewan

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present a supervised machine learning based recommendation strategy that analyzes Stack Overflow posts to suggest informative sentences that is useful for programming tasks. We have conducted several experiments and found that our approach can successfully recommend useful information.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
Pages446-449
Number of pages4
Publication statusPublished - 2018
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: 11 Jun. 201815 Jun. 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Intelligent Tutoring Systems, ITS 2018
Country/TerritoryCanada
CityMontreal
Period11/06/1815/06/18

Keywords

  • Recommendation systems
  • Supervised learning crowd knowledge
  • Text classification

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