Collaborative Filtering in E-commerce Business

Presentation Type

Poster

Student

Yes

Track

Tools

Abstract

Since the making of the internet easily available to the public, the amount of data that has been produced by users of the internet has been mind-blowing. Industries like the e-commerce industry that benefited from the publicizing of the internet have also inherited the problem of the insane amount of data produced. Most companies when created make it their primary aim to ensure customer satisfaction in order to make a profit. To ensure the customer's satisfaction, most of the e-commerce companies had to solve the large data issue which occurs due to the insane amount of data available on the internet. This might sound like a good thing to the general public, but for e-commerce companies it made retrieval of useful information about customer-specific need difficult. In order to solve this problem, e-commerce companies had to invest and research algorithms that could fix the issue. Collaborative filtering was the algorithm to solve the large data issue and it is still being used presently. In this paper, we have discussed the improvement of collaborative filtering. We have also discussed the types of collaborative filtering and how e-commerce has affected present trends in collaborative filtering. We will conclude the paper with the challenges we faced during our research.

Start Date

2-11-2020 1:00 PM

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Feb 11th, 1:00 PM

Collaborative Filtering in E-commerce Business

Volstorff A

Since the making of the internet easily available to the public, the amount of data that has been produced by users of the internet has been mind-blowing. Industries like the e-commerce industry that benefited from the publicizing of the internet have also inherited the problem of the insane amount of data produced. Most companies when created make it their primary aim to ensure customer satisfaction in order to make a profit. To ensure the customer's satisfaction, most of the e-commerce companies had to solve the large data issue which occurs due to the insane amount of data available on the internet. This might sound like a good thing to the general public, but for e-commerce companies it made retrieval of useful information about customer-specific need difficult. In order to solve this problem, e-commerce companies had to invest and research algorithms that could fix the issue. Collaborative filtering was the algorithm to solve the large data issue and it is still being used presently. In this paper, we have discussed the improvement of collaborative filtering. We have also discussed the types of collaborative filtering and how e-commerce has affected present trends in collaborative filtering. We will conclude the paper with the challenges we faced during our research.