This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
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Updated
Mar 17, 2021 - Python
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
A dataset sample of the most reviewed and best-selling books on Amazon
Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.
Data Visualization and Data Analytics with Tableau by solving real data analytics problems
This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.
A notebook to analyze Amazon Recommendation Review Dataset.
Extract Amazon data with the #1 Amazon Scraper API, including search results, product details, offers, reviews, Q&A, bestsellers, and seller information. Start your free trial now!
This project has analyzed the Amazon Review dataset to find any motivating insight concerning heterogeneous recommendations and answer the following questions: • Which users reviewed products from several domains? • What are the pairs of domains connected via bridge users? • What is the relation between domains? • What is the accuracy of using a…
A session-based recommendation system to recommend baby products on Amazon using 4 models namely ITEMKNN, POP, GRU4Rec, and STAMP, STAMP performs the best in all accuracy metrics followed by GRU4Rec. We also did result analysis, including ranking accuracy, coverage, popularity.
This repository contains data related to Amazon UK sales from 2018 to 2021
In this exercise, I was given some data about some purchases done through Amazon! I had to follow the directions and answer the questions and complete the tasks.
EDA on Amazon Data of a few million customers & then building a CNN Deep Learning Model.
This Capstone Project summarizes our preliminary (Exploratory Data Analysis EDA) analysis on the dataset, the Black Friday Dataset from Amazon. It shared some insightful results from the EDA and descriptive statistics. Further, this paper identifies a set of analyses used to answer the business questions on the dataset and justifies those findings.
Curso de Estructuras de Datos Avanzadas - UCSP 2020-2
Extracting and loading data from amazon website to create a product details table
This is our implementation of Explainable Recommendation System for Solving Review Loss
Amazon Product Sales Data Analysis: Trends and Insights
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