یک سامانه توصیه‎گر ترکیبی با استفاده از اعتماد و خوشه‎بندی دوجهته به‎منظور افزایش کارایی پالایش‎گروهی

Authors

Abstract:

In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users in making effective selection decisions from a plethora of choices. Recommender systems have been developed in order to respond this problem in order to customize the required information for users. So far, several types of recommender systems have been developed such as collaborative filtering recommender systems, content-based recommender systems and knowledge-based recommender systems. Each of these systems has advantages and disadvantages. Most of the recommender systems are based on collaborative filtering; Collaborative filtering is a widely accepted technique to generate recommendations based on the ratings of like-minded users. In fact, the main idea of this technique is to benefit from the past behavior or existing beliefs of the user community to predict products that are likely to be liked by the current user of the system. In collaborative filtering, we use the similarity between users or items to recommend products. However, this technique has several inherent problems such as cold start, sparsity and scalability. Since the collaborative filtering system is considered to be the most widely used recommender system, solving these problems and improving the effectiveness of collaborative filtering is one of the challenges raised in this context. None of the proposed hybrid systems have ever been able to resolve all of the collaborative filtering problems in a single and desirable manner; in this paper, we proposed a new hybrid recommender system that applies trust network as well as bi-clustering to improve the effectiveness of collaborative filtering. Therefore, the objectives of this research can be summarized as follows: sparsity reduction, increasing the speed of producing recommendations and increasing the accuracy of recommendations. In the proposed system, the trust between users is used to fill the user-item matrix which is a sparse matrix to solve the existing problem of sparsity. Then using bi-clustering, the user-item matrix is subdivided into matrices to solve the problem of scalability of the collaborative filtering and then the collaborative filtering is implemented for each sub matrix and the results from the implementation of the collaborative filtering for the sub-matrices are combined and recommendations are made for the users. The experimental results on a subset of the extended Epinions dataset verify the effectiveness and efficiency of our proposed system over user-based collaborative filtering and hybrid collaborative filtering with trust techniques. Improve sparsity problem Experimental results showed that our proposed system solves some of the sparsity problems which is due to the using the trust in the hybrid recommender system. By using trust, we can predict many uncertain ratings. Thus, transforming the user-item sparsity matrix into a half-full matrix. Improve scalability problem The results show that the proposed system has a higher speed compared with the user-based collaborative filtering algorithm and hybrid collaborative filtering with trust, and increasing the volume of data has little effect on increase online computing time. The reason can be summarized as a using of bi-clustering. Bi-directional clusters are made offline and break down the matrix of rankings into smaller subsets. Implementing the collaborative filtering on these smaller sets has led to increased computing speed. Improve the new user problem This system can provide accurate results for the new users due to the use of trust, because product collections viewed by new user can increase with the trust between the users. This system can predict the similarity between the new user and other users. So, the results are more accurate than the results of the user-based collaborative filtering and hybrid collaborative filtering with trust.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

افزایش دقت مکان یابی با استفاده از الگوریتم ترکیبی TOA/TDOA در سامانه زمین پایه لورن

در سیستم­ های ناوبری به منظور مکان­ یابی بایستی ابتدا زمان ورود یا اختلاف زمان ورود سیگنال محاسبه و سپس با استفاده از یک الگوریتم مشخص، اختلاف زمانی حاصل را به اطلاعات طول و عرض جغرافیایی تبدیل نمود. در این مقاله، هدف تحلیل الگوریتم­ های ترکیبی تخمین زمان ورود به منظور امکان بهینه ­سازی دقت مکان­ یابی در سامانه ­های مکان­ یاب زمین پایه لورن می ­باشد. بدین منظور ابتدا الگوریتم ­های متداول تخمین ...

full text

افزایش کارایی سامانه هشدار سیلاب با استفاده از منحنی غیر قطعی بارش آستانه

یکی از روش‌های مهم و موثر در جلوگیری یا کاهش خسارات جانی و مالی سیلاب استفاده از سامانه‌های هشدار سیلاب می‌باشد. در همه سامانه‌های هشدار سیلاب از آشکارساز جهت شناسایی وقایع سیلاب مانند شاخص‌های اقلیمی استفاده می شود. استفاده از منحنی بارش آستانه از روش‌های متداول در هشدار سیلاب می‌باشد. در این روش با مقایسه بارش‌های مشاهداتی یا پیش‌بینی شده با مقادیر آستانه حدی بارش، هشدار وقوع سیلاب اعلام می‌گ...

full text

افزایش کارایی سامانه هشدار سیلاب با استفاده از منحنی غیر قطعی بارش آستانه

یکی از روش های مهم و موثر در جلوگیری یا کاهش خسارات جانی و مالی سیلاب استفاده از سامانه های هشدار سیلاب می باشد. در همه سامانه های هشدار سیلاب از آشکارساز جهت شناسایی وقایع سیلاب مانند شاخص های اقلیمی استفاده می شود. استفاده از منحنی بارش آستانه از روش های متداول در هشدار سیلاب می باشد. در این روش با مقایسه بارش های مشاهداتی یا پیش بینی شده با مقادیر آستانه حدی بارش، هشدار وقوع سیلاب اعلام می گ...

full text

 بررسی افزایش کارایی بیمارستان با استفاده از شبکه های هوشمند

  Background: Achieved results from this research shows that despite in health system in country efficiencies such as work force efficiency(doctors and nurses) is not incomputable  and percentage of bed occupation and regulating shift work program prepare manually and with paper, this issue results in time consuming of managers and wasting costs and errors in carried out computations. Therefor...

full text

The effect of cyclosporine on asymmetric antibodies and serum transforming growth factor beta1 in abortion-prone model of mice CBA/J x DBA/2

كچ ي هد فده و هقباس : ي ک ي طقس زورب للع زا اه ي ،ررکم ا لماوع تلاخد ي ژولونوم ي ک ا رد ي ن قم طققس عون ي وراد دقشاب ي س ي روپسولک ي ،ن ح لدم رد طقس شهاک بجوم ي ناو ي CBA/j×DBA/2 م ي تنآ ددرگ ي داب ي اه ي ان و راققتم TGF-β لماوع زا عت مهم يي ن گلماح تشونرس هدننک ي سررب روظنم هب رضاح هعلاطم تسا ي ات ث ي ر اس ي روپسولک ي ن م رب ي از ا ي ن تنآ عون ي داب ي س و اه ي اکوت ي ن TGF...

full text

The Study of Stressful Factors in Clinical Education for Nursing Students Studying in Nursing and Midwifery College in Khorramabad

کچ هدي پ شي مز هني فده و : شزومآ لاب يني شخب ساسا ي شزومآ مهم و راتسرپ ي تسا . و هنوگ ره دوج لکشم ي شزومآ رد لاب يني ، آراک يي هدزاب و ا ني شزومآ زا شخب راچد ار لکشم م ي دنک . فده اب رضاح شهوژپ سررب ي لماوع سرتسا از ي شزومآ لاب يني رد وجشناد ناي راتسرپ ي هدکشناد راتسرپ ي و يامام ي ماـجنا داـبآ مرـخ تسا هتفرگ . شور و داوم راک : رضاح هعلاطم کي هعلاطم صوت يفي عطقم ي تسا . د...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 15  issue 2

pages  119- 132

publication date 2018-09

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023