The significance of recommendation system techniques in improving user experience on e-
commerce platforms should be considered as data-driven technologies progress …

A recommender system is a set of tools for information retrieval. It improves access and
proactively recommends items and services that match users' tastes by considering their …

Sažetak The rapid growth of new information and products in the virtual environment has
made it time consuming to acquire relevant information and knowledge amidst a vast …

The usefulness of Collaborative filtering recommender system is affected by its ability to
capture users' preference changes on the recommended items during recommendation …

深度矩阵分解采用深层非线性映射, 从而突破了矩阵分解中双线性关系影响推荐系统性能的瓶颈
, 但它没有考虑用户对未评分项目的偏好, 且对于稀疏性较高的大规模数据其推荐性能不具有 …

As a new search paradigm emerges, users' perspectives on information searching shift from
finding information to receiving it. Recommender systems (RS) are an emerging method of …

Recommender Systems are systems that aid users in finding relevant items, products, or
services, usually in an online setting. Collaborative Filtering is the most popular approach for …

The available data on the Internet can be utilized to obtain valuable information on any
given subject. But the data is massive and intricate, which produces many problems for …