Predicting web accesses using personal history

Deng, YuFeng; Manoharan, Sathiamoorthy

doi:10.1109/icos.2017.8280265

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Authors [24,25] found that only the user's access patterns are insufficient to predict the user's behavior. e authors [24] worked upon an individual user's behavior.…”

Section: Prefetching Techniques Using Content Miningmentioning

confidence: 99%

“…Authors [24,25] found that only the user's access patterns are insufficient to predict the user's behavior. e authors [24] worked upon an individual user's behavior. Authors [25] analyzed that web pages' content should also be taken into account to capture the user's interest.…”

Section: Prefetching Techniques Using Content Miningmentioning

confidence: 99%

“…Keyword based [19,20,24,25] Prediction is made by retrieving confidential information present in the contents of web documents…”

mentioning

confidence: 99%

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HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

Setia

Verma

Duhan

2020

Scientific Programming

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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.

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“…Authors [24,25] found that only the user's access patterns are insufficient to predict the user's behavior. e authors [24] worked upon an individual user's behavior.…”

Section: Prefetching Techniques Using Content Miningmentioning

confidence: 99%

Section: Prefetching Techniques Using Content Miningmentioning

confidence: 99%

See 1 more Smart Citation

HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

Setia

Verma

Duhan

2020

Scientific Programming

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“…Predictive mechanisms that are too aggressive will actually use more bandwidth and cause network congestion to reduce user experience (Deng and Manoharan, 2015; Khemmarat et al , 2012). Therefore, this prediction mechanism must be continuously evaluated to avoid prediction results never used, which impact system performance degradation because of wasted cache capacity (Deng and Manoharan, 2017). Those evidence is based on the research by Khemmarat et al (2012), which showed that more prefetch objects saved did not automatically increase the HR.…”

Section: Caching Strategymentioning

confidence: 99%

“…Deng and Manoharan (2017) proposed a Web prefetching method by analyzing Web access personal history. Web access sends from the client to the proxy server.…”

Section: Caching Strategymentioning

confidence: 99%

Caching strategy for Web application – a systematic literature review

Zulfa

Hartanto

Permanasari

2020

IJWIS

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Purpose Internet users and Web-based applications continue to grow every day. The response time on a Web application really determines the convenience of its users. Caching Web content is one strategy that can be used to speed up response time. This strategy is divided into three main techniques, namely, Web caching, Web prefetching and application-level caching. The purpose of this paper is to put forward a literature review of caching strategy research that can be used in Web-based applications. Design/methodology/approach The methods used in this paper were as follows: determined the review method, conducted a review process, pros and cons analysis and explained conclusions. The review method is carried out by searching literature from leading journals and conferences. The first search process starts by determining keywords related to caching strategies. To limit the latest literature in accordance with current developments in website technology, search results are limited to the past 10 years, in English only and related to computer science only. Findings Note in advance that Web caching and Web prefetching are slightly overlapping techniques because they have the same goal of reducing latency on the user’s side. But actually, the two techniques are motivated by different basic mechanisms. Web caching uses the basic mechanism of cache replacement or the algorithm to change cache objects in memory when the cache capacity is full, whereas Web prefetching uses the basic mechanism of predicting cache objects that can be accessed in the future. This paper also contributes practical guidelines for choosing the appropriate caching strategy for Web-based applications. Originality/value This paper conducts a state-of-the art review of caching strategies that can be used in Web applications. Exclusively, this paper presents taxonomy, pros and cons of selected research and discusses data sets that are often used in caching strategy research. This paper also provides another contribution, namely, practical instructions for Web developers to decide the caching strategy.

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Mobile Prefetching and Web Prefetching: A Systematic Literature Review

Buyuktanir

Aktaş

2022

Lecture Notes in Computer Science

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Predicting web accesses using personal history

Cited by 3 publications

References 9 publications

HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

Caching strategy for Web application – a systematic literature review

Mobile Prefetching and Web Prefetching: A Systematic Literature Review

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