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Collaborative Filtering with Data Classification: A Combined Approach to Hotel Recommendation Systems
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-2110-0943
Dalarna University, School of Technology and Business Studies, Information Systems.
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2016 (English)In: 25th International Conference on Information Systems Development (ISD2016 Poland), 2016Conference paper (Refereed)
Abstract [en]

Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Recommendation systems, collaborative filtering, ranking systems, ROC curves
National Category
Computer and Information Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-22830OAI: oai:DiVA.org:du-22830DiVA: diva2:954500
Conference
25th International Conference on Information Systems Development (ISD2016 Poland), Katowice, Poland, August 24-26, 2016
Available from: 2016-08-22 Created: 2016-08-22 Last updated: 2016-08-29Bibliographically approved

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Song, William WeiAvdic, AndersForsman, AndersÅkerblom, Leif
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ReferencesLink to record
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