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Example code of aldeebhasan/laravelcf

Informations about the package laravelcf

Laravel Recommendation system (LaravelCF)

A php package allow you to find the est recommendation of your modules

Installation

Install using composer:

The run :

Basic Usage

LarvelCF package allow you to recommend data based on many algorithms including (Cosine,Weighted Cosine, Centered Cosine, SlopeOne).

In general we have two kind of recommender included in this package:

Filling the data

The first step to build your recommendation system is to provide the dataset you want to work with.

In LarvelCF we have 4 type of data (PURCHASE, RATE, CART_ACTION, BOOKMARK). the purpose of these types is to enable you to handle different types of data at the same time.

You can use the following to enter your recommender data:

Instantiate the recommender

After entering your data, you can instantiate your desired recommender using our support facade:

Get recommendations

Finally, to make your recommendations you will run the following code:

For the setSimilarityFunction, you can provide the similarity algorithm, the missing value default values, and weather you want to fill the missing methods or discard them.

Available Similarity algorithm:

Available missing values replacement methods:

Full Example

License

Laravel Recommendation system package is licensed under The MIT License (MIT).

Security contact information

To report a security vulnerability, contact directly to the developer contact email Here.

All versions of laravelcf with dependencies

PHP Build Version
Package Version
Requires php Version >=8.1
ext-json Version *
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