Multicriteria recommender system using different approaches

C Das, AK Sahoo, C Pradhan - Cognitive Big Data Intelligence with a …, 2022 - Elsevier
Multicriteria recommender systems are widely used in all sectors of industries. Examples of
recommender systems include Netflix's recommendation machine, Amazon's recommender …

A novel customer-oriented recommendation system for paid knowledge products

T Yang, J Zhang, L Wang, J Zhang - Journal of Systems Science and …, 2022 - Springer
With the rapid development of knowledge payment, customers are faced with a large
number of knowledge products when purchasing, leading to the need for an effective …

Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation

H Liu, H Qiao, X Shi, M Shang - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Recently, user-provided reviews have been identified as an essential resource to improve
user and item representation in recommender systems. Previous methods focus on the …

An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system

AB Chopra, VS Dixit - Journal of Intelligent Systems, 2022 - degruyter.com
Recommender system (RS) depends on the thoughts of numerous users to predict the
favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable …

Multi‐Criteria–Based Entertainment Recommender System Using Clustering Approach

C Das, AK Sahoo, C Pradhan - Advanced Analytics and Deep …, 2022 - Wiley Online Library
Multi‐criteria recommender systems are such kind of models that are made to give a user‐
friendly environment to the user. These models are widely used in every sector of the world …

[PDF][PDF] A Hotel Recommender System using Context-Based Clustering

P Bafna, D Pramod - academia.edu
The web is one of the largest textual data repositories in the world. There is voluminous data
in the digital world. To search for online hotels based on specific requirements of the user is …