Our mission is to develop AI applied to key business problems while pursuing bold ideas in key areas, from natural language (NLP/NLU) to machine learning operations (MLOps).
After working at Coveo for the last six months, I must say that it is the best place to conduct machine learning experimentation and develop concrete AI solutions for businesses.…
Semantic similarity matching between texts is one of the sub-tasks of Natural Language Understanding (NLU). It has a wide range of applications, such as informal retrieval, question answering, and paraphrase…
The 2021 edition of SIGIR eCom is just past us. As typical for one of the leading venues for Information Retrieval in ecommerce, we had the chance to listen to…
In a previous article we addressed how, despite having machine learning, digital merchandisers are forced into manually managing synonyms. We showed how it is tedious, laborious, non-scalable – and error-prone.…
For those of you keeping track of where Coveo’s research scientists are presenting – we are thrilled (and proud) to announce that Coveo will be at NAACL 2021 with two…
The WSDM (pronounced “wisdom”) conference was scheduled to be in Tel Aviv this year, but as with everything else, it ended up being turned into yet-another-zoom-week for all participants. Virtual…
As devoted readers know, we often remark that a huge portion of Ecommerce research is hardly relevant for practitioners outside of the few retail giants who lead the space. This…
We don’t need sophisticated Machine Learning to know that many products in Ecommerce are seasonal – we buy swimsuits in the summer and jackets in the winter, scuba diving equipment…
In early December, we had the chance to remotely attend two major events in the AI community: COLING and NeurIPS. As is usually the case with conferences, both COLING and…
Today, we are beyond thrilled to announce the release of our first anonymous shopping dataset to the AI community. This release follows the recent publication of our article on intent…