Sitecored

When building marketplaces, having recommended products based on previous users' interactions is a feature that can have a tremendous impact on how people interact with a website. Having recommended products (or anything) does not only personalize the user experience but it can also improve sales massively. Coveo for Sitecore Hive (and also the legacy framework) has a built-in module that uses Machine Learning and the user history to recommend things that might be of interest to the context user. This blog is not intended to replace the documentation Coveo has put in place on how to implement the Recommendations component ( https://docs.coveo.com/en/648/coveo-for-sitecore-v4/getting-recommendations ), however, it can serve as an auxiliary document to make the implementation of this module even easier. There are several steps in the official documentation which I will explain here: 1.  First, we need to set up the Coveo Page View Analytics component which will be in charge of

I am very proud and honored to have been recognized as a Sitecore Most Valuable Professional in the Technology category. This past year was challenging and I am glad that my contributions to the community had an impact. I have now joined the selected and talented group of only 315 people among 12000 certified developers and 20000 active community members. The Sitecore community is undoubtedly one of the most active and engaging communities I have had the chance to work with and I am more than happy to be able to share my knowledge and experiences to help with the growth of the community. I will make sure to keep it up with the good work and honor the MVP distinction. Full press release link: https://www.sitecore.com/company/press-and-media/press-releases/2019/01/sitecore-announces-2019-most-valuable-professionals I am excited to see you all at SUGCON London and Symposium Orlando this year!