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Prediction Function with Time Factor in Collaborative Filtering download ebook

Prediction Function with Time Factor in Collaborative Filtering download ebook

Prediction Function with Time Factor in Collaborative Filtering by Rana Chhavi

Prediction Function with Time Factor in Collaborative Filtering
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Author: Rana Chhavi
Page Count: 72 pages
Published Date: 18 Dec 2012
Publisher: LAP Lambert Academic Publishing
Publication Country: United States
Language: English
ISBN: 9783848436040
File size: 33 Mb
Download Link: Prediction Function with Time Factor in Collaborative Filtering
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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.

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