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BELLERENA is designed to give more accurate and personalized recommendations
for online shoppers.
With the large amount of information which comes rapidly to the internet, makes it
difficult in finding needful information. This becomes a critical problem for internet
users in finding needed information or products in any platform. As a solution expert
started inventing and developing various kinds of recommendation systems. And the
Collaborative filtering approach has become the most important algorithm among other
algorithms. With the use of collaborative filtering algorithms, it’s easy to make quality
recommendations.
E companies also started using recommendation systems to give suggestions for the
products, which their customers might be interested on. Recommender systems provide
excellent sales for E-commerce companies. Recommender systems were commonly
used to recommend items such as Movies, Books, Items, Music etc. to customers.
Netflix uses recommender systems in recommending movies and Amazon uses the
recommendation system in recommending books to their customers. There are several
ways of making recommendations, such as Providing the top list items, making
recommendations based on demographic data, analyzing the past interaction activities
of users. Among all, the collaborative filtering approach is the best approach invented
by [Goldberg et al., 1992]. There are three types of recommendation systems,
Collaborative Filtering, Content-based recommender system and Hybrid approach.
The collaborative filtering can be divided into Model based filtering and Memory based
filtering, under model-based filtering comes the Matrix factorization, Clustering,
Bayesian networks. And under Memory based filtering comes the Item – Item
collaborative filtering approach and User- User collaborative filtering approach.
Rather than making common recommendations for the users BELLERENA is designed
to give more accurate and personalized recommendations for online clothing shoppers.
Since online clothing is a massive area, BELLERENA is scoped down to Women’s
online clothing personalized recommendations. In order to personalize the |
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