Online ISSN: 2515-8260

Author : B, Mathi


Web based Tender Bid Analysis and Recommendation System using Collaborative Filtering

Jaichandran R; Muthuselvan S; Usha Kiruthika; Raja prakash S; Veda Priyan; Mathi B

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 3031-3038

Now a days all government projects, infrastructure enhancement are provided to individuals through tender system. But in the exiting approach, there is no transparency and government officials intervention is there, because of this the right vendor might be missed to get the order as there is lack of transparency. To address this issue, a web based tender analysis and recommendation system is proposed system using collaborative filtering. Proposed method selects the best bid provided by the vendors for a respective tender. It also provides transparency and enhances opportunity for new vendors to participate in bid. For experimental results, we used java for this web based tender analysis and recommendation system. Promising results obtained by continuously refining the trained model utilizing new goals information, scope of type of tenders and anticipating whether any activity is specified. The proposed system saves time of processing, easy decision making, reduces tender costs for governments and motivates new players to participate and perform the bid.