Constructing a web recommender system using web usage mining and user’s profiles
نویسندگان
چکیده
منابع مشابه
IMPROVE THE RECOMMENDER SYSTEM USING SEMANTIC WEB
To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include a...
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Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs. This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user ...
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with the increased confidence in the use of the internet and the world wide web, the number of electronic commerce (e-commerce) transactions is growing rapidly. therefore, finding useful patterns and rules of users’ behaviors has become the critical issue for e-commerce and can be used to tailor e-commerce services in order to successfully meet the customers’ needs. this paper proposes an appro...
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web usage mining (wum) is the automatic discovering of hidden informationof user access pattern from the web log data. frequent pattern discovery is one ofthe main techniques in wum that can be used to implement recommender systems,forecast user`s navigational behaviour, and personalize web sites. many algorithmshave been suggested on obtaining frequent user navigation patterns. this paperprese...
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ژورنال
عنوان ژورنال: Management Science Letters
سال: 2014
ISSN: 1923-9335,1923-9343
DOI: 10.5267/j.msl.2014.11.010