AI-based recommendation systems: the ultimate solution for market prediction and targeting
With the advancements of non-stop technologies in the retail sector, the relationship
between consumers and retailers has become interactive. AI-driven systems have opened …
between consumers and retailers has become interactive. AI-driven systems have opened …
Aggregated Relative Similarity (ARS): a novel similarity measure for improved personalised learning recommendation using hybrid filtering approach
To improve the effectiveness of online learning, the learning materials recommendation is
required to be personalised to the learner material recommendations must be personalized …
required to be personalised to the learner material recommendations must be personalized …
Recommendation system with biclustering
J Sun, Y Zhang - Big Data Mining and Analytics, 2022 - ieeexplore.ieee.org
The massive growth of online commercial data has raised the request for an automatic
recommender system to benefit both users and merchants. One of the most frequently used …
recommender system to benefit both users and merchants. One of the most frequently used …
Utilizing alike neighbor influenced similarity metric for efficient prediction in collaborative filter-approach-based recommendation system
The most popular method collaborative filter approach is primarily used to handle the
information overloading problem in E-Commerce. Traditionally, collaborative filtering uses …
information overloading problem in E-Commerce. Traditionally, collaborative filtering uses …
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems
S Ahmadian, M Rostami, SMJ Jalali… - … and Information Systems, 2025 - Springer
Food recommendation systems have become increasingly popular due to the proliferation of
online food service websites. Accordingly, the ratings assigned by users are one of the most …
online food service websites. Accordingly, the ratings assigned by users are one of the most …