Sentence examples for the similar items from inspiring English sources

Item-based KNN uses the similarity techniques (e.g., cosine similarity, Jaccard similarity and Pearson correlation) between items to recommend the similar items.

According to the selected items of that first knowledge source, the similar items of other knowledge sources are obtained based on the semantic similarity calculated in advance.

In this way, a rating is predicted for an unobserved user-item pair by considering the similar items he/she already rated.

Similarity score set (SS) of a target user (u_{m}) and a target item (s_{n}) are those rating records which belong to the existing ratings of similar users set (SU) to the similar items set (SI).

The similar items were also used for the paper-based formative test.

The high correlation may be explained by the similar items of each scale.

Chops Grille, the ship's steak restaurant, featured a seasoned-bacon appetizer — thinner but more irresistibly molten than the similar item at Peter Luger.

With the help of these similar items and the heuristic physical effects, other concept solutions are generated through ontology inference.

In an upcoming validation study with a much larger population, we will examine these similar items with the aim to include only the most distinct items.

A description of key elements will help the buyer assess readily whether or not this sale is worth pursuing and if your item is the one that beats the other similar items hands down.

In addressing the problems above, CBF methods focus on the "item" itself rather than previous user behavior, breaking down items into sets of attributes and characteristics to then recommend to the user similar items.