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Showing posts from June, 2019

Collaborative Filtering Process

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Collaborative Filtering Process

Book Recommendation Process

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Book Recommendation Process Flowchart

Recommendation Techniques

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Recommendation Techniques Recommender systems are used for providing personalized recommendations based on the user profile and previous behaviour. Recommender systems such as Amazon, Netflix, and YouTube are widely used in the Internet Industry. Collaborative filtering and content based filtering are the prime approaches in providing recommendation to the users. Both of them are the best applicable in specific scenarios because of their respective properties. Popular sites using recommender systems    Types of algorithms used in Recommender System Collaborative filtering:- It recommends items based on the similarity measures between users and items. The system recommends those items that are preferred by a similar category of users. Collaborative filtering has many advantages  1. It is content-independent  2. In CF people make explicit ratings so real quality assessment of items is done.  3. It provides effective recommendations because it is based on user’s similarity rather than

Content Based Filtering

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Content Based Filtering

What is the difference between web search personalization and web personalization?

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Personalization is the process of providing personalizing results to the user. People are generally confused with web search personalization and web personalization. Let me tell you, both of these two terms are come under personalization, but are different. Web search personalization is the process of providing personalizing results to the user for his submitted query. Example: Search engines like Google, Bing, Yahoo, etc. While in web personalization, the products or results are recommended to us by the website. Here we supposed or asked to submit any query for getting the results. Example: Amazon, Flipkart, etc;