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Introduction About The Recommendation And Inference Engine

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By Author: Michel Smith
Total Articles: 22
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The recommender system is going to use all the details about the registered user profile. The system will go through his opinions and habits of their entire community of users to compare the information with the referral characteristics and then it will provide the recommendations. Let’s take an example of a site whatshouldireadnext.com where we find that user will enter the name of book of their choice and then he will get the various books related to that name or of the same name which the person would love to read. Recommendation engines or say recommender system sometimes also known as recommender platform is a subclass of information filtering system where a person can do the rating or look for the preference within few minutes of time.

it is very commonly used tool in the recent years and this has made life very easy because one do not have to go through the whole data ant waste the time but they have to just enter the keyword and then he will get various references by the recommender system. the use of this application is done in various places such as movies, music, books, news, articles, social tags, products, ...
... jokes, restaurants, insurances, online dating twitter followers etc. this list basically provide two types of list of recommendations . The collaborative filtering or the content based filtering. The collaborative filtering uses the previous behavior of the user and then provides the recommendations of his interest. Whereas the content based filtering uses the series of discreet characteristics of product to give the recommendations. These two approaches are frequently combined. The inference engine is another system that is also known as expert system.

The expert system is of two types one is knowledge base and inference engine. These both are two eyes of expert system. Therefore to develop the knowledge an engineer will interact with the human expert to gather the knowledge and then feeds it in the knowledge base. Interface is basically created to get the queries from users and once the queries are known they are sent to inference engine which then gives the response and advice about those queries. This is one of the very useful expert system which helps the things very easy and smooth going. The inference uses the knowledge base and rules in hand to give these responses. One can get to know about these engines more thoroughly through various books written by renowned writers and even on the internet where the rest of the queries related to these engines will be mentioned more elaborative.

Michel Smith is the author of this article. For further detail about Recommendation Engine Enterra Solutions and Visit the Website www.enterrasolutions.com.

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