Next Gen Farmer: An Efficient Trust Based Recommender System for Agriculture
K. Anji Reddy1, R.Kiran Kumar2
1K.Anji Reddy , Research Scholar, Department of Computer Science, Krishna University, Machilipatnam,Andhra Pradesh, India.
2Dr. R.Kiran Kumar, Department of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India.
Manuscript received on November 27, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 4594-4598 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5112129219/2019©BEIESP | DOI: 10.35940/ijeat.B5112.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Collaborative Filtering (CF) technique is a major method among the proposal strategies. Regardless of its prosperity, despite everything it experiences a few shortcomings proportional to information meagre condition and operator coldbegin issues prompting poor suggestion precision and decreased inclusion. Trust-based suggestion ways of consolidating the additional information as of the user community conviction organize keen on co-operative separating and may be advanced in explaining such disputes. This paper will provide the best way to utilize trust with community separating to determine the disputes and develop the outcomes.
Keywords: Precision agriculture, Collaborative filtering , Effective trust, Recommender system