AbstractTo recommend products to users according to their interests, research on recommended systems was carried on widely. Recommended systems were introduced in this paper. Four main recommend technologies such as collaborative filtering recommendation, recommendation based on contents and so on were mentioned. Advantages and disadvantages of these mentioned recommendations technology were provided. Hot topics in personalized recommendation research were emphasized. Then, existing problems on personalized recommendation were analyzed. Future research challenges facing personalized recommendation system were presented in the end
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
With the explosively growing of the technologies and services of the Internet, the information data ...
With the explosively growing of the technologies and services of the Internet, the information data ...
AbstractTo recommend products to users according to their interests, research on recommended systems...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommendation is a process which plays an important role in many applications . Main objective of t...
Collaborative filtering method is an important method of personalized recommendation, while the meth...
Collaborative filtering is one of the most frequently used techniques in personalized recommendation...
Collaborative filtering method is an important method of personalized recommendation, while the meth...
Today, recommendation system has been globally adopted as the most effective and reliable search eng...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
Abstract-Recommendation is a process which plays an important role in many applications as WWW.The m...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
Abstract: Collaborative filtering is the most successful technology for building personalized recom...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
With the explosively growing of the technologies and services of the Internet, the information data ...
With the explosively growing of the technologies and services of the Internet, the information data ...
AbstractTo recommend products to users according to their interests, research on recommended systems...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommendation is a process which plays an important role in many applications . Main objective of t...
Collaborative filtering method is an important method of personalized recommendation, while the meth...
Collaborative filtering is one of the most frequently used techniques in personalized recommendation...
Collaborative filtering method is an important method of personalized recommendation, while the meth...
Today, recommendation system has been globally adopted as the most effective and reliable search eng...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
Abstract-Recommendation is a process which plays an important role in many applications as WWW.The m...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems...
Abstract: Collaborative filtering is the most successful technology for building personalized recom...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
With the explosively growing of the technologies and services of the Internet, the information data ...
With the explosively growing of the technologies and services of the Internet, the information data ...