Abstract
In this paper, we propose a new hybrid
recommendation model for Web users which is
based on multiple recommender systems working
in parallel. With the rapid growth of the World
Wide Web (www), it becomes a critical issue to
find useful information from the Internet. Web
recommender systems help people make
decisions in this complex information space
where the volume of information available to
them is huge. Recently, a number of approaches
have been developed to extract the user behavior
from her navigational path and predict her next
request as she visits Web pages. In this paper,
we integrate the results of two different
recommendation models in order to achieve
better recommendation accuracy. The
experimental evaluation shows that our method
can achieve a better prediction accuracy
compared to standard recommendation systems
while still guaranteeing competitive time
requirements.
Abstract
Bu makalede, web kullanıcıları için birden fazla öneri sistemini kullanan yeni bir melez öneri sistemi önerilmiştir. World Wide Web’in(www) hızlı gelişimiyle birlikte, haber, ekonomi, kültür, eğitim, sağlık hizmetleri ve reklam gibi bir çok alanda bilgi kaynağı olan İnternet ortamında, kullanıcı kendisi için gerekli bilgileri bulmakta çoğu zaman zorlanmaktadır. Bunun nedeni sorgulama araçlarının kısıtlı olması ve bilgilerin fazlalığı olarak görülmektedir. Web öneri sistemleri bu karmaşık bilgi ortamında kullanıcılara kendileri için gerekli olan bilgiyi bulmakta yardımcı olurlar. Son zamanlarda, kullanıcıların İnternet ortamındaki davranışları incelenerek bir sonraki davranışını öngörmeye çalışan çalışmalar yapılmıştır. Bu makalede, başarılı öneriler üretebilmek için iki farklı öneri modelinin sonuçlarını birleştirilmiştir. Deneysel sonuçlar, standart öneri sistemleriyle karşılaştırılınca önerdiğimiz yöntemin daha başarılı sonuçlar ürettiğini göstermiştir.
Details
| Other ID | JA37GR96YZ |
|---|---|
| Journal Section | Makaleler(Araştırma) |
| Authors | |
| Publication Date | June 24, 2016 |
| Published in Issue | Year 2006 Volume: 2 Issue: 1 - Volume: 2 Issue: 1 |
Cite
Article Acceptance
Use user registration/login to upload articles online.
The acceptance process of the articles sent to the journal consists of the following stages:
1. Each submitted article is sent to at least two referees at the first stage.
2. Referee appointments are made by the journal editors. There are approximately 200 referees in the referee pool of the journal and these referees are classified according to their areas of interest. Each referee is sent an article on the subject he is interested in. The selection of the arbitrator is done in a way that does not cause any conflict of interest.
3. In the articles sent to the referees, the names of the authors are closed.
4. Referees are explained how to evaluate an article and are asked to fill in the evaluation form shown below.
5. The articles in which two referees give positive opinion are subjected to similarity review by the editors. The similarity in the articles is expected to be less than 25%.
6. A paper that has passed all stages is reviewed by the editor in terms of language and presentation, and necessary corrections and improvements are made. If necessary, the authors are notified of the situation.
.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.