Real Time Shop-Type Recommendation System

Chincholkar, Abhijeet A./ Chincholkar, Chaitali A.

ISBN 10: 3330335165 / ISBN 13: 9783330335165

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

80 pages. 8.66x5.91x0.19 inches. In Stock.

Seller Inventory # 3330335165

Bibliographic Details

• Title: Real Time Shop-Type Recommendation System
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3330335165
• ISBN 13: 9783330335165
• Binding: Paperback
• Condition: Brand New
• Weight: 0.17 kilograms

About this title

Synopsis

This book deals with Real Time shop-type recommendation system, to generate the appropriate Real Time shop-type recommendations based on popularity prediction a feature fusion matrix factorization method is suggested. When an investor/shop owner decides to open a new shop on his available place and if there are various shops of different types, then Real Time shop-type recommendation can be done in following way: The location features fs and the commercial features Cst of each candidate type are required to be captured first. The set of feature values extracted for selected type t are given as a input to the feature fusion matrix factorization model. The popularity value for each type is calculated by using extracted feature values and value obtained by sentiment analysis. The predicted popularity pst is based upon the value of the selected type t and feature values of every shop type from selected circular area with radius r. In this way, for each shop type in the given location, first of all its popularity prediction is to be done. Then, as per the popularity values, all shop types are ranked in descending order and the shop types.