Product Bundle Recommendation using Collaboration of Matrix Factorization and Jaccard Similarity

Thekadayil, Anu Johny (2018) Product Bundle Recommendation using Collaboration of Matrix Factorization and Jaccard Similarity. Masters thesis, Dublin, National College of Ireland.

Preview

PDF (Master of Science) Download (1MB) | Preview

Abstract

Recommendation system is an filtering application which mainly does the work of providing recommendation based on the information collected from the users. This application is know to have been supporting the marketing and e-commerce sectors since a long time and has proved to be a critical part in it. Since recent, the recommendation systems mainly concentrated on single item recommendations but recent years has seen an increase in need for bundles. Product bundles are a boon for the enterprises as well as the users. The users tend to fall for the combination strategy and end up buying a bundle which usually includes at least two of their favorite items. Thus designing an optimal product bundle recommending system is important.

The research consists of the methodologies such as Matrix Factorization and Jaccard Similarity as they have proved to be excellent in their respective applications. This model recommends the product bundle as well as evaluates to check whether the bundle is similar in reality i.e. the bundle consisting of three products recommended by matrix Factorization is evaluated by the Jaccard score of their respective genre's.

The developed model is thoroughly evaluated using the k-fold cross validation and the performance metrics such as recall, precision and RMSE were taken into consideration. By the performance metrics we can say that this methodology provides good results which is confirmed by taking into consideration of all the metrics and moreover the Jaccard score as well as the works of other researches which suggested that a precision of 0.3 is considerably good.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	03 Nov 2018 14:32
Last Modified:	03 Nov 2018 14:32
URI:	https://norma.ncirl.ie/id/eprint/3419

Actions (login required)

View Item