One success factor of an online affiliate is determined by the quality of the content source.
Therefore, affiliate marketplaces need to do an objective assessment to retrieve content data …

After the great development in the use of the internet and widespread use of e-commerce
sites, the problem of the large number of products offered appeared, thus causing confusion …

In recent years it has spread the used of e-commerce sites quite dramatically. Thus, these
sites have become display huge number of diverse products. It became difficulty for the …

In this paper, we propose a system that provides customized product recommendation
information after crawling product review data of internet shopping mall with unstructured …

The recommendation system is a mechanism for filtering a batch of data into numerous data
sets based on what the user wants. Cosine similarity is one of the algorithms used in …

The impact of machine learning and artificial intelligence areas in e-commerce is growing.
Algorithms from these areas help to grow sales and optimize various aspects of e-commerce …

The tremendous growth in the availability of enormous text data from a variety of sources
creates a slew of concerns and obstacles to discovering meaningful information. This …

The growing number of internet companies are demanding the company to innovate through
technology. This is also applied to restaurant directory companies, they should give …

The recommendation system aims to provide the best suggestion to the user by analysing
the buyer's interest. Most of the time, we can get good product as the recommender (s) …

The wide variety of products offered by a company, combined with consistent demands of
specific products from customers, create a certain problem for an organization when they …