Downloads: 111 | Views: 250 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper | Computer Science & Engineering | India | Volume 5 Issue 3, March 2016 | Popularity: 6.4 / 10
Extraction of Product Information for Trustworthiness
Pooja Vanerkar, Prof. Chaita Jani
Abstract: Online market is helpful to the consumers and brings wealth of information. However, online market is also flooded with fake and shoddy products. Trustworthiness is a solution to solve these problems which is raised by the authors' laboratory. The model of trustworthiness evaluates the product in three dimensions, which are authenticity, reliability and credibility. But the data to analyze trustworthiness evaluation is mainly from manual import. Product Information Object is the organic whole of product information and product reviews. In this paper we simulate and show a compression between algorithms which can show the discrimination accordingly and proposed an algorithm which defines the trustworthiness of the product.
Keywords: Trustworthiness, Product extraction, accuracy, framework, product information
Edition: Volume 5 Issue 3, March 2016
Pages: 1024 - 1026
DOI: https://www.doi.org/10.21275/NOV162014
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 179 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020
Pages: 457 - 461Artificial Intelligence for Hiring
Ishan Borker, Ashok Veda
Downloads: 659 | Weekly Hits: ⮙1 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
Downloads: 137 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015
Pages: 2246 - 2249Packet Analysis with Network Intrusion Detection System
Rashmi Hebbar, Mohan K
Downloads: 0
Comparative Studies, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023
Pages: 194 - 199A Comparative Study of Analyzing Breast Cancer as Benign or Malignant using Machine Learning Algorithms
Nigel Jonathan Renny, Timothy William Richard, Dr. M. Maheswari
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 12 Issue 1, January 2023
Pages: 131 - 141Enhancing Fashion Image Retrieval with Multi-Modal Query and Zero-Shot Learning for Cross-Domain
Swathy S