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Prediction Function With Time Factor In Collaborative Filtering


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

The vast growth of information on the Internet as well as number of visitors to websites add some key challenges to recommender systems such as providing accurate estimation, handling many recommendations efficiently and coping with the vast growth of number of visitors in the system.Therefore, new recommender system technologies are needed that can quickly produce high quality recommendations even for huge data sets. The task of Collaborative filtering is to predict the utility of services to the active user based on the user's previous likings or database of user votes from a population of other users.The accuracy of user similarity is the key to the success of the recommendation for computing predictions. Recommender model predict user interest with the help of prediction function Prediction is a numerical value expressing the likelihood of the active user prefers the item. At various sites, a users’ feedback is often continuously collected over a long period.By including some time function we modifiy prediction function to improve the efficiency of the recommender system.

Product Specifications
SKU :COC18004
AuthorMai Shouman,Mohammed Gaber Abo-Ali and Khalid Aly Eldrandaly
Number of Pages88
Publishing Year12/18/2012
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-27 00:00:00
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