Sentence examples for items representations from inspiring English sources

At the end of the feature extraction module, the resulting set is used by the items' representations generation module.

Thus, the items' representations aim to describe items by their characteristics and the collective appreciation of users toward them.

In the recommendation module, the items' representations are finally analyzed alongside the ratings provided by the users.

Our proposal focuses on the development of methods that produce items' representations based on users' reviews for recommender systems.

We then plan to apply these users' vectors alongside the items' representations in the recommendation process. 1 https://stanfordnlp.github.io/CoreNLP/.

In the content-based approach [2], users' profiles are matched with items' representations using a similarity measure.

Based on the experiments, we elect and discuss the feature extraction technique for items' representation that performed better among the others.

In the traditional item k-NN, item representations were constructed with the ratings the item has received, thus hurting the prediction of newly added items.

This work differs from the aforementioned since it uses reviews to produce item representations that will feed an algorithm typically used in collaborative filtering scenarios.

Two models of item similarity were tested by assuming that the item representations share a proportion of features and that the exemplars from different stimulus classes vary in the distinctiveness or diagnosticity.

Over a number of cycles, this pattern completion process will reinstate the original pattern in the entorhinal layer, which, in turn, can reinstate associated information in the input layers, namely, item representations that have been experienced in that particular context (feature extraction).