The Methods Of Data Mining Industry On The Individual 's Past Behavior Of Similar Users

875 Words Apr 9th, 2015 4 Pages
INTRODUCTION

Recommender systems as a specific kind of information filtering (IF) method that tries to show information items like movies, music, books, news, images, web pages, etc. that are likely of interest to the user. In general, it is relied on an information item named the content-based approach or the user 's social environment named the collaborative filtering approach. The major four approaches for recommendations:
Personalized recommendation - recommend things based on the individual 's past behavior. Social recommendation - recommend things based on the past behavior of similar users. Item recommendation - recommend things based on the item itself.
 A combination of the three approaches above (Suguna & Sharmila, 2012).

Mining association rule is one of the methods of data mining, which is utilized to extract the interesting correlations, frequent patterns, associations between list of items in the transaction databases or other data repositories. Several efficient mining association rules algorithms were suggested in the last few years, but the Apriori algorithm is ordinarily utilized by most of the researchers. Many researchers tried to enhance the efficiency of the Apriori algorithm.
Association rule is a one of the data mining methods to discover the connection between the items in transactions. A set of items I = {i1, i2, s3...,in} is provided, a transaction can be as a subset of I and a dataset as a…

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