Sentence examples for personalized recommendation system from inspiring English sources

There are many efforts to make in order to improve the personalized recommendation system [23, 24].

In this case, a personalized recommendation system on mobile social media appears.

Over the last year, however, Consumr has been focused on expanding its potential use case and developing a more personalized recommendation system and user experienced.

Back in April of last year, the site dumped the familiar five-star rating system in favor of the more straight forward thumbs up/down, in an attempt to offer a more personalized recommendation system.

A mixture markov model is proposed to investigate user navigation patterns so that a personalized recommendation system for each user can be built [ 26].

We test our hypotheses in the area of personalized nutrition recommendations since they represent a key example in the health sector of a type of personalized recommendation system that provides a particularly promising tool to assist consumers in their decision making [ 3].

We present the general architecture of personalized recommendation systems, the privacy issues therein, and existing works that focus on privacy-preserving personalized recommendation services.

Users' interests might change over time, and accurate modeling of dynamic users' preferences is a challenging issue in designing efficient personalized recommendation systems.

In the meantime, features such as chatbots, data analysis algorithms, and personalized recommendation systems will automatically direct audiences to content that's relevant to their interests and circumstances, creating a more dynamic and personalized user experience.

Fourth, we use a objective evaluation metric for personalized recommendation systems without patient interaction.

Further, we propose a novel framework for effectively implementing BPLT+ model and objectively testing personalized recommendation systems without human interactions, shown in Figure 2. Based on the real patients' laboratory test data, we randomly generate a training data set, a validation input set and a validation label set.