Due to the rapid growth of internet, a useful technology named recommender system (RS) become an effective application to make recommendations to users, nowadays, many collaborative recommender systems (CRS) have succeeded in some fields like movies and music web applications;…
Generating a useful recommendation is only the first step in creating a recommendation system. For the system to have value, the recommendations must be delivered with a user interface that allows the user to become aware that recommendations are available,…
This White Paper explains: Why recommender solution is essential for e-commerce, media, entertainment and video streaming services How recommender solutions bring benefits to the companies by increasing customer conversion How recommender solutions can bring value by improving user's engagement What…
Recently, there has been a lot of speculation among the members of the artificial intelligence community concerning the way AI can help with the problem of successful information search in the reservoirs of knowledge of Internet. Recommender systems provide a solution to this problem by…
The paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches. The paper also describes various limitations of current…
Trouvus is excited to announce that it is opening its door to working with partners and affiliates! To develop a long-standing relationship with you and your clients, Trouvus is offering various packages and programs to match your needs. For a full list of benefits, see the Trouvus…
Over 40% of internet users have made purchases online which translates to over 1.12 billion people While the precise number of eCommerce stores is unknown, we know the marketplace is growing and new challenges are being presented to stores big…
Much of our current understanding about Artificial Intelligence is informed by what we see in popular culture. Due to ignorance and popular cultural portrayals of A.I. and machine learning, many people fear machines that are capable of computing complex tasks.…
Much of the consumer journey is guided by trust. In the mind of the consumer, they need to trust the brand or store they are buying from, especially if they’re a new customer. Over time the customer can even show…
Recommendation systems are only as good as the recommendations they make. Using predictive analysis to aid your inventory listings will lead to satisfied customers and, in the end, drive sales. Here are four ways how to use both in conjunction…
