International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 2, February 2014 Edition [ISSN 2250-3153]

Rec-Tech: A Recommendation System encapsulated in Online Technical Forum
      Kujur Preeti Nancy, Pal Arnab, Pooja
Abstract: In the present days of e-commerce and social engineering the use of recommendation system is one of the most relevant issue. Several IT giants like Amazon, Facebook use highly developed recommender system to serve the users in a better method. So, Recommendation Algorithms are one of the most important topics in Data Science and Social Engineering. Here we used a recommendation system in a Technological Discussion Forum where users can post any relevant question related to different genres like, Programming Languages, Operating System, Artificial Intelligence etc. and we are building a recommendation system based on the user activities. With the advancement in the process of learning via Internet lead learners to an Internet Forums. As they are getting interested in Group Discussions, it’s the best and huge platform to share our knowledge among different perspective to make it more lucid. In this paper, we have created a website, Technical Forum where our main objective is to make Recommendation System operative with our own algorithms.

Reference this Research Paper (copy & paste below code):

Kujur Preeti Nancy, Pal Arnab, Pooja (2018); Rec-Tech: A Recommendation System encapsulated in Online Technical Forum; Int J Sci Res Publ 4(2) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0214.php?rp=P262338
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