Service Recommendation Method for Diverse User Preferences by Examining Reviews in Hadoop

Provided by: International Journal of Scientific Research Engineering &Technology (IJSRET)
Topic: Enterprise Software
Format: PDF
Now-a-days, data about products, suppliers and consumer experiences on products have been exploding in consumer world in the form of reviews. In order to make use of data, service recommendation method can be used to extract useful information to the consumer and also to categorize products based on customer preferences. Services are usually recommended based on past user experiences and products are ranked based on ratings from user. In this paper, services are recommended based on diverse user preferences by examining the positive and negative aspects in review using valence and arousal algorithm.

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