Comparative Study of Web Mining Algorithms for Web Page Prediction in Recommendation System
نویسنده
چکیده
This paper shows the comparative study and implementation of recommendation system based on two different web mining algorithms. The proposed system is designed for web page prediction in recommendation system as well as it is helpful for the study of web mining algorithm to get frequent sequential access pattern from web log file of web server. The experiments are conducted based on the implementation of the algorithms (GSP and Prefix Span) and results are noted down in which it is found that pattern growth based algorithm(Prefix Span) is efficient than apriori based algorithm (GSP) for web log sequential access pattern mining.
منابع مشابه
Hybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features
Personalized recommenders have proved to be of use as a solution to reduce the information overload problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملDesigning a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms
Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners. Methods: Design science research method is used in this research...
متن کاملWeb-Page Recommendation Using an Enhanced Incremental Sequence Mining Algorithm Along With Ontology
Web page recommendation is a process to recommend appropriate web pages to the user according to the user interest.When user is on a webpage they should get a proper recommendation so that they gain relevant results. Appropriate knowledge discovery from Web usage data and correct representation of that knowledge for successful Web -page recommendation is important. The paper presents a techniqu...
متن کاملA Technique for Improving Web Mining using Enhanced Genetic Algorithm
World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the methods for web mining is evolutionary algorithms which search according to the user interests...
متن کامل