Noraswaliza Abdullah

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Web based commercial recommender systems (RS) can help users to make decisions about which product to purchase from the vast amount of products available on the Internet. Currently, many commercial recommender systems are developed for recommending frequently purchased products where a large amount of explicit ratings or purchase history data is available(More)
Recommender systems offer personalization to online activities due to their ability to recommend products that are unknown to the user. The most common form of these systems employs collaborative filtering to make recommendations and operate by estimating a preference for an item based on how like minded users have previously rated items. Such methods(More)
Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and, thus, help in making good decisions about which product to buy from the vast amount of product choices. Many of the current(More)
Recommender Systems (RS) have emerged to help users make good decisions about which products to choose from the vast range of products available on the Internet. Many of the existing recommender systems are developed for simple and frequently purchased products using a collaborative filtering (CF) approach. This approach is not applicable for recommending(More)
The existing Collaborative Filtering (CF) technique that has been widely applied by e-commerce sites requires a large amount of ratings data to make meaningful recommendations. It is not directly applicable for recommending products that are not frequently purchased by users, such as cars and houses, as it is difficult to collect rating data for such(More)
Rapid emergence of knowledge retrieval techniques have assists in innovation especially in search engine related field. However, there is still room for improvement related to data reliability. Most knowledge on the Web is presented as natural-language text that understandable by human but difficult for computers to interpret. Therefore, Semantic Web(More)
pH neutralization process plants are widely used particularly in the wastewater treatment and process industries such as biotechnology, chemical processing and pharmaceuticals. The control of pH neutralization is recognized as a difficult problem due to the highly nonlinear characteristics of the process. The need to regulate the pH value within a specific(More)
OBJECTIVE This paper shall first investigate the informatics areas and applications of the four Traditional Medicine systems - Traditional Chinese Medicine (TCM), Ayurveda, Traditional Arabic and Islamic Medicine and Traditional Malay Medicine. Then, this paper shall examine the national informatics infrastructure initiatives in the four respective(More)
Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and, thus, help in making good decisions about which product to buy from the vast amount of product choices. Many of the current(More)