Abstract:
Recommender systems on web pages are a
subclass of information filtering system that seeks
the relevant web pages according to prediction of
the 'rating' or 'preference' that a user would give
web page. Nowadays, the huge numbers of
available web pages on the web make difficultly
for finding relevant web pages. Ontology is a
formal representation of a set of concepts within a
domain and the relationships between those
concepts. Content-based filtering also referred to
as cognitive filtering, recommends items based on
a comparison between the content of the items
(Item profile) and a user profile. Rather than
prescribing a "correct" decision, the Analytic
Hierarchy Process AHP helps decision makers
find one that best solution of their goal and their
understanding of the problem and extract decision
based on their preferences. This system presents
building ontology of cosmetics to apply
recommender system and gives the best solution of
cosmetic web pages which are suitable for user
based on user’s preference using Content-based
Filtering method and Analytic Hierarchy Process
(AHP) method.
