Product Information Browsing Support System Using Analytic Hierarchy Process

12/17/2021
by   Weijian Li, et al.
0

Large-scale e-commerce sites can collect and analyze a large number of user preferences and behaviors, and thus can recommend highly trusted products to users. However, it is very difficult for individuals or non-corporate groups to obtain large-scale user data. Therefore, we consider whether knowledge of the decision-making domain can be used to obtain user preferences and combine it with content-based filtering to design an information retrieval system. This study describes the process of building a product information browsing support system with high satisfaction based on product similarity and multiple other perspectives about products on the Internet. We present the architecture of the proposed system and explain the working principle of its constituent modules. Finally, we demonstrate the effectiveness of the proposed system through an evaluation experiment and a questionnaire.

READ FULL TEXT
research
10/12/2020

Large Scale Product Graph Construction for Recommendation in E-commerce

Building a recommendation system that serves billions of users on daily ...
research
04/27/2020

Improving Usability of User Centric Decision Making of Multi-Attribute Products on E-commerce Websites

The high number of products available makes it difficult for a user to f...
research
02/13/2013

Decision-Analytic Approaches to Operational Decision Making: Application and Observation

Decision analysis (DA) and the rich set of tools developed by researcher...
research
06/29/2019

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering

Nowadays, users open multiple accounts on social media platforms and e-c...
research
06/23/2016

E-commerce in Your Inbox: Product Recommendations at Scale

In recent years online advertising has become increasingly ubiquitous an...
research
02/09/2018

State of the Practice for GIS Software

We present a reproducible method to analyze the state of software develo...
research
02/13/2021

Diffusion Approximations for a Class of Sequential Testing Problems

We consider a decision maker who must choose an action in order to maxim...

Please sign up or login with your details

Forgot password? Click here to reset