Applying Machine Learning for Automatic Product Categorization

Applying Machine Learning to Product Categorization

We present a method for classifying products into a set of known categories by using supervised learning. That is, given a product with accompanying informational details such as name and descriptions, we group the product into a particular category with similar products, e.g., ‘Electronics’ or ‘Automotive’. To do this, we analyze product catalog information from different distributors on Amazo...

A Machine Learning Approach for Product Matching and Categorization

Consumers today have the option to purchase products from thousands of e-shops. However, the completeness of the product specifications and the taxonomies used for organizing the products differ across different e-shops. To improve the consumer experience, e.g., by allowing for easily comparing offers by different vendors, approaches for product integration on the Web are needed. In this paper,...

Applying an existing machine learning algorithm to text categorization

The information retrieval community is becoming increasingly interested in machine learning techniques, of which text catego-rization is an application. This paper describes how we have applied an existing similarity-based learning algorithm, Charade, to the text cat-egorization problem and compares the results with those obtained using decision tree construction algorithms. From a machine lear...

Applying Machine Learning Toward an Automatic Classification of It

In the majority of cases, the pronoun it illustrates nominal anaphora, tending to refer back to another noun phrase in the text. However, in a significant minority of cases, the pronoun is used in exceptional ways that fail to demonstrate strict nominal anaphora. The identification of these uses of it is important in all fields where pronoun resolution has an impact. Following a survey of previ...

Machine learning for Arabic text categorization