INTELLIGENT ONLINE STORE: USER BEHAVIOR ANALYSIS BASED RECOMMENDER SYSTEM

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KARIMI ALAVIJEH MOHAMMAD REZA; ASKARI SHIVA; PARASITE SIRVAN

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Paper Information

Journal: JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT Year:2015 | Volume:7 | Issue:2 Page(s): 385-406

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Title

INTELLIGENT ONLINE STORE: USER BEHAVIOR ANALYSIS BASED RECOMMENDER SYSTEM

Author(s)

KARIMI ALAVIJEH MOHAMMAD REZA | ASKARI SHIVA | PARASITE SIRVAN | Issue Writer Certificate

Keywords

CLUSTERINGQ2

COLLABORATIVE FILTERINGQ1

DEMOGRAPHICSQ2

RECOMMENDER SYSTEMQ1

Abstract

Recommender systems provide personalised recommendations to users, helping them find their ideal items, also play a key role in encouraging users to make their purchases through websites thus leading to the success of online stores. The COLLABORATIVE FILTERING method is one of the most successful techniques utilized in these systems facilitating the provision of recommendations close to that of the customer's taste and need. However the proliferation of both customers and products on offer, the technique faces some issues such as "cold start" and scalability. As such in this paper a new method has been introduced in which user-based COLLABORATIVE FILTERING is used at a base method along with a weighted CLUSTERING of users based upon DEMOGRAPHICS in order to improve the results obtained from the system. The implementation of the results of the algorithms demonstrate that the presented approach has a lower RMSE, which means that the system offers improved performance and accuracy and that the resulting recommendations are closer to the taste and preferences of the users.

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APA: Copy

KARIMI ALAVIJEH, MOHAMMAD REZA, ASKARI, SHIVA, & PARASITE, SIRVAN. (2015). INTELLIGENT ONLINE STORE: USER BEHAVIOR ANALYSIS BASED RECOMMENDER SYSTEM. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 7(2), 385-406. SID. https://sid.ir/paper/140490/en

Vancouver: Copy

KARIMI ALAVIJEH MOHAMMAD REZA, ASKARI SHIVA, PARASITE SIRVAN. INTELLIGENT ONLINE STORE: USER BEHAVIOR ANALYSIS BASED RECOMMENDER SYSTEM. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2015;7(2):385-406. Available from: https://sid.ir/paper/140490/en

IEEE: Copy

MOHAMMAD REZA KARIMI ALAVIJEH, SHIVA ASKARI, and SIRVAN PARASITE, “INTELLIGENT ONLINE STORE: USER BEHAVIOR ANALYSIS BASED RECOMMENDER SYSTEM,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 7, no. 2, pp. 385–406, 2015, [Online]. Available: https://sid.ir/paper/140490/en

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