---
product_id: 46801558
title: "A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within  varied Domains"
brand: "david jrn"
price: "€ 188.93"
currency: EUR
in_stock: true
category: "Paperback"
url: https://www.desertcart.es/products/46801558-a-domain-independent-framework-for-intelligent-recommendations-design-application-evaluation
store_origin: ES
region: Spain
---

# A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within  varied Domains

**Brand:** david jrn
**Price:** € 188.93
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within  varied Domains by david jrn
- **How much does it cost?** € 188.93 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

Recommender systems assist the user in decision- making processes and automate information processing  steps like the classification of artifacts.  Intelligent recommendations help users to cope with  the steadily growing information overload within the  internet or when using information systems at their  place of work, for instance. As an example, the  recommendation techniques collaborative filtering  and content-based filtering are mainly applied in  the areas of e-Commerce and web navigation to  recommend potentially relevant articles or websites.  Recommender systems are either based on machine  learning functions such as clustering,  classification, and prediction or they are realized  by symbolic methods like association rule mining,  that is, by rule-based mechanisms in general. The hybrid and domain-independent framework  developed in this dissertation called SymboConn is  based on a recurrent neural network and provides a  high generalization capability, flexibility, and  robustness. We demonstrate its applicability by case  studies in navigation recommendation, design pattern  discovery, change impact analysis as well as time  series prediction.

## Features

- A Domain Independent Framework for Intelligent Recommendations

## Images

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*Product available on Desertcart Spain*
*Store origin: ES*
*Last updated: 2026-02-27*