Proposing a New Metric for Collaborative Filtering

Bahrehmand, Arash and Rafeh, Reza (2011) Proposing a New Metric for Collaborative Filtering. Journal of Software Engineering and Applications, 4 (7). pp. 411-416. ISSN 1945-3116

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Abstract or Summary

The aim of a recommender system is filtering the enormous quantity of information to obtain useful information based on the user’s interest. Collaborative filtering is a technique which improves the efficiency of recommendation systems by considering the similarity between users. The similarity is based on the given rating to data by similar users. However, user’s interest may change over time. In this paper we propose an adaptive metric which considers the time in measuring the similarity of users. The experimental results show that our approach is more accurate than the traditional collaborative filtering algorithm

Item Type:Journal article
Keywords that describe the item: Recommendation Systems, Collaborative Filtering, Similarity Metric
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Engineering and Industrial Design
ID Code:5109
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Deposited On:10 Jan 2017 20:21
Last Modified:19 Dec 2018 23:36

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