Expertise → Data Analytics
Internet users generate exorbitant amounts of data – a phenomenon, widely known as "Big Data" or "Web-scale data", and without an efficient data mining and analytics solution you’re missing out on multiple opportunities lying right in front of you. Here’s what we mean.
Recommendation Engines allow online stores to increase their sales by up to 20%. They are also widely used in media and social networks to suggest movies, books, friends, followers, etc. They provide a user with a list of recommendations based on the properties of an item (content-based filtering) or on previous choices and preferences of the user as well as on his or her similarity to other users (collaborative filtering). While both approaches have their strengths and downsides, you can choose one or a combination of both depending on the situation. For certain projects we have built recommendation engines that take into account additional factors and parameters when rating items (e.g. location) to provide better recommendations.
User Behavior Modeling is aimed at helping both the user and the website owner. For the user it means a better user experience as the system adapts to the user’s needs. For the website owner this is a helping hand in improving website usability and increasing conversion rate. It’s also an opportunity for targeted advertising. By means of combining web engine functionality, click through analysis and statistical modeling, DataArt experts can help you get all the benefits of user behavior prediction and modeling.
Natural Language Processing uses text mining, text parsing and semantic web to enable you to find relevant items from amongst Gigabytes of texts. For example, in one of our projects we collected news articles from the 50 most influential news sources in the US and the UK and created an app that applies structured crawling, name and entity recognition, and then processes the texts. The app allows filtering news articles by category (business news, politics, sports, etc.), referenced objects (person, organization, location), or by the emotional coloring of the text.