When we are running a search, we want to find relevant results not only for the exact expression we typed on the search bar, but also for the other possible forms of the words we used. For example, it’s very likely we will want to see results containing the form “skirt” if we have typed “skirts” in the search bar.
If you have been following our blog, you probably have noticed that this year we have been publishing a lot about chatbots. Indeed, most of the companies in the AI sector have done the same and it is not a coincidence. As messaging apps usage grows, chatbot adoption increases. Every company wants to offer their clients more value and new channels of personalized communication.
Black Friday is that time of the year when we all go crazy for shopping, and that is amazing news for all the retailers who have their products online. As the number of e-commerce users grows, they start experiencing the same problems they used to suffer while going to brick and mortar locations.
Natural Language Processing and data mining have been around for a while, and they are both considered as interesting fields to research about. However, it is not easy to find a novel problem or approach for any of them.
Chatbots are the new black, but for a trend to succeed it needs to work efficiently, and until now, 70% of the bots available in Facebook Messenger fail to understand user requests. Based on this rate, it is not surprising that many companies decide not to trust them to be the image of their businesses to customers.