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HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs
Joint Authors
Setia, Sonia
Jyoti, Verma
Duhan, Neelam
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-06
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The continuous growth of the World Wide Web has led to the problem of long access delays.
To reduce this delay, prefetching techniques have been used to predict the users’ browsing behavior to fetch the web pages before the user explicitly demands that web page.
To make near accurate predictions for users’ search behavior is a complex task faced by researchers for many years.
For this, various web mining techniques have been used.
However, it is observed that either of the methods has its own set of drawbacks.
In this paper, a novel approach has been proposed to make a hybrid prediction model that integrates usage mining and content mining techniques to tackle the individual challenges of both these approaches.
The proposed method uses N-gram parsing along with the click count of the queries to capture more contextual information as an effort to improve the prediction of web pages.
Evaluation of the proposed hybrid approach has been done by using AOL search logs, which shows a 26% increase in precision of prediction and a 10% increase in hit ratio on average as compared to other mining techniques.
American Psychological Association (APA)
Setia, Sonia& Jyoti, Verma& Duhan, Neelam. 2020. HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs. Scientific Programming،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1209326
Modern Language Association (MLA)
Setia, Sonia…[et al.]. HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs. Scientific Programming No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1209326
American Medical Association (AMA)
Setia, Sonia& Jyoti, Verma& Duhan, Neelam. HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1209326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209326