# Empirical analysis of Machine Learning Techniques for context aware Recommender Systems in the environment of IoT

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/empirical-analysis-of-machine-learning-techniques-for-context-aware-recommender/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nitin Sachdeva,Renu Dhir,Akshi Kumar |
| Citations | 13 |
| DOI | 10.1145/2979779.2979818 |
| Fields | Computer Science,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2553594101 |
| Type | conference-paper |
| Year | 2016 |

## Paper authors

- [Nitin Sachdeva](https://scholariq.org/researchers/nitin-sachdeva/)

## Paper primary topic

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)

## Paper topics

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Advanced Bandit Algorithms Research](https://scholariq.org/topics/advanced-bandit-algorithms-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.