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Product Recommendation with Graph Database

Product Recommendation with Graph Database

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Table of content

Overview of Building Product Recommendation System

  • Production Recommender system is a useful information tool based on algorithms to provide customers with the most suitable products.
  • Recommendation lists are based on user preferences, item details, past user interactions.

Challenges in Building Recommendation System

  • Collection of data
  • Storing the data
  • Analyzing the data
  • Filtering the data
  • Missing Data Values

Solution Offerings for Building Recommendation Systems

  • Build Recommendation platform which should not be only Collaborative or Content-Based also including other features linked with Hybrid Recommendation system.
  • Link Analysis - Link Analysis collects information about the social circle of customers.
  • A Transaction between a customer and Merchant Tracking (graph database)- This tracking will lead to data which not only performs recommendations but others also. Tracking gathers information about the customer more likely if a customer frequently travels.
  • Content-Based Filtering - Content-Based filtering recommends products similar to what the customer already owns.
  • Collaborative Filtering - Collaborative filtering tracks patterns in customer’s behavior related to other customers so that if products match then, it recommends a new product to the customer with similar liking.

Complete Guide to Graph Database

Graph Database understands, predicts and model exploring highly connected data leveraging organization. It involves quicker access to data, data import, Data Integration, graph algorithms for pathfinding, Data Ingestion. Graph Database Services and Solutions involve -
  • Artificial Intelligence Machine Learning
  • PageRank Graph Algorithm
  • Graph Processing Engine
  • Fraud Detection
  • Knowledge Graph
  • Network and Infrastructure Monitoring
  • Real-Time Recommendation and Product Recommendation Engine
  • Master Data Management
  • Social Media and Social Network Graphs
  • Regulatory Compliance
  • Identity and Access Management
  • Supply Chain Transparency
  • Connected Data Platform
  • Native Graph Cloud Compute
  • Graph Block Storage
  • Connected Data Architecture
  • Analytics and Transactions
  • Enrichment Discovery Design and Operational Activities
  • Hybrid Frameworks

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