Web site optimization using page popularity

Garofalakis, John; Kappos, Panagiotis; Mourloukos, D.

doi:10.1109/4236.780957

Cited by 38 publications

(24 citation statements)

References 2 publications

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“…1(c) is the best based on . We believe that in [10], the rationale behind swapping the parent and child page if the child page is more popular is similar to the underlying concept of . However, does miss one element for good catalog trees, that is, it does not address the easiness issue.…”

Section: B Metricmentioning

confidence: 98%

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Automatic construction of online catalog topologies

Sung

Yang²,

Yiu

et al. 2002

IEEE Trans. Syst., Man, Cybern. C

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Abstract-Given a set of products, where each is characterized by a set of attribute values, an online catalog is an organization of a set of product pages on the web through which users can access their required product information. A good online catalog is crucial to the success of an e-commerce web site.Traditionally, an online catalog is mainly built by hand. To what extent this can be automated is a challenging problem. Recently, there have been investigations on how to reorganize an existing online catalog based on some criteria, but none of them has addressed the problem of organizing an online catalog automatically from scratch. This paper attempts to tackle this problem.We model an online catalog organization as a decision tree structure and propose a metric, based on the popularity of products and the relative importance of product attribute values, to evaluate the quality of a catalog organization. The problem is then formulated as a decision tree construction problem. Although traditional decision tree algorithms, such as C4.5, can be used to generate online catalog organization, the catalog constructed is generally not good based on our metric. An efficient greedy algorithm (GENCAT) is thus developed, and the experimental results show that GENCAT produces better catalog organizations based on our metric.

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Section: B Metricmentioning

confidence: 98%

“…Garofalakis et al [10] address this quality issue using page popularity. They reorganize the existing structure locally by swapping children and parent pages if the child page is more popular.…”

mentioning

confidence: 99%

Automatic construction of online catalog topologies

Sung

Yang²,

Yiu

et al. 2002

IEEE Trans. Syst., Man, Cybern. C

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show abstract

“…Geeta and others [4] suggested that the number of pages at a particular level, the number of forward links and the number of backward links to a particular web page reflect the behavior of visitors to a specific page in the website. However Garofalakis [5] pointed out that the number of hit counts calculated from Log File is an unreliable indicator of page popularity. Geeta & others [10] suggested that the topology of the website plays an important role in addition to log file statistics to help users to have quick response.…”

Section: Related Workmentioning

confidence: 99%

“…The page popularity can be estimated by counting the accesses to this page based exclusively on a given file [5]. This count may not be a accurate count.…”

Section: Pagerank Algorithmsmentioning

confidence: 99%

Literature Survey on Web Mining

Bharamagoudar¹,

Pvgd²

2012

IOSRJCE

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“…These strategies range from data personalization and short videos to the dynamic rearrangement of items in a given page, to name a few [2,3,8]. In all these cases the ultimate goal is the same: to draw the attention of the visitor to a website before she proceeds to the next one [4].…”

Section: Introductionmentioning

confidence: 99%

Popularity, novelty and attention

Huberman

2008

Proceedings of the 9th ACM Conference on Electronic Commerce

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We analyze the role that popularity and novelty play in attracting the attention of users to dynamic websites. We do so by determining the performance of three different strategies that can be utilized to maximize attention. The first one prioritizes novelty while the second emphasizes popularity. A third strategy looks myopically into the future and prioritizes stories that are expected to generate the most clicks within the next few minutes. We show that the first two strategies should be selected on the basis of the rate of novelty decay, while the third strategy performs sub-optimally in most cases. We also demonstrate that the relative performance of the first two strategies as a function of the rate of novelty decay changes abruptly around a critical value, resembling a phase transition in the physical world.

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Web site optimization using page popularity

Cited by 38 publications

References 2 publications

Automatic construction of online catalog topologies

Automatic construction of online catalog topologies

Literature Survey on Web Mining

Popularity, novelty and attention

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