Rule-based approach for context-aware collaborative recommender system

المؤلفون المشاركون

Bin Hamdi, Sulif
Baburi, Abd al-Salam
Chiky, Raja
Nabhan, Jamal

المصدر

Jordanian Journal of Computetrs and Information Technology

العدد

المجلد 8، العدد 2 (30 يونيو/حزيران 2022)، ص ص. 205-217، 13ص.

الناشر

جامعة الأميرة سمية للتكنولوجيا

تاريخ النشر

2022-06-30

دولة النشر

الأردن

عدد الصفحات

13

التخصصات الرئيسية

العلوم الهندسية والتكنولوجية (متداخلة التخصصات)

الملخص EN

Sparsity is a serious problem of collaborative filtering (CF) that has a considerable effect on recommendation quality.

Contextual information is introduced in traditional recommendation systems besides users’ and items’ information to overcome this problem.

Several research works proved that incorporating contextual information may increase sparse data.

For this, data-mining techniques are among the most effective solutions that have been used in context-aware recommendation systems to handle the sparsity problem.

This paper proposes the combination of a new context-user-based similarity collaborative filtering recommendation technique with data mining techniques, as a solution to this problem and develops a novel recommendation system: Rule-based Context-aware Recommender System (R_CARS).

R_CARS is experimented introducing four rule-based algorithms: JRip, PART, J48 and RandomForest, on four different datasets: DePaulMovie, InCarMusic, Restaurant and LDOS_CoMoDa and compared with the state-of-the-art models.

The results of the experiment show that weighting the rating-based similarity with context and combining it with a rule-based technique can overcome the sparsity problem and significantly improve the accuracy of recommendation compared to the state- of-the-art models.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Bin Hamdi, Sulif& Baburi, Abd al-Salam& Chiky, Raja& Nabhan, Jamal. 2022. Rule-based approach for context-aware collaborative recommender system. Jordanian Journal of Computetrs and Information Technology،Vol. 8, no. 2, pp.205-217.
https://search.emarefa.net/detail/BIM-1415651

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Bin Hamdi, Sulif…[et al.]. Rule-based approach for context-aware collaborative recommender system. Jordanian Journal of Computetrs and Information Technology Vol. 8, no. 2 (Jun. 2022), pp.205-217.
https://search.emarefa.net/detail/BIM-1415651

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Bin Hamdi, Sulif& Baburi, Abd al-Salam& Chiky, Raja& Nabhan, Jamal. Rule-based approach for context-aware collaborative recommender system. Jordanian Journal of Computetrs and Information Technology. 2022. Vol. 8, no. 2, pp.205-217.
https://search.emarefa.net/detail/BIM-1415651

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 214-216

رقم السجل

BIM-1415651