Efficient web information retrieval based on usage mining

Mukherjee, Indrajit; Bhattacherjee, Vandana; Banerjee, Samudra; Gupta, Pradeep Kumar; Mahanti, Prabhat Kumar

doi:10.1109/rait.2012.6194595

Cited by 8 publications

(2 citation statements)

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“…Efficient web information retrieval (EWEBIR) [16] states that the relevance of the document from users perspective can somewhat overcome the problems of low precision and recall. The larger size of the log file is the major issue in web usage mining.…”

Section: User Navigational Patterns-a Road Mapmentioning

confidence: 99%

Intelligent Web Information Retrieval based on User Navigational Patterns

Prasanth¹,

Hemalatha²

2015

IJCA

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The foremost mission of any information retrieval algorithm is the efficient extraction of user interests. The rapid growth of web data, intense competition and user's option to choose from several alternatives increases this issue. In this context Web usage mining can provide valuable contributions in terms of ideas and methods, as it fissures useful knowledge from the pattern of user interactions with the Web. The user interest can be identified by analyzing the access pattern of user browse, the web pages they save, collect, or print. These valuable information's are available in server logs, which can be exploited to satisfy user needs by optimizing the document-retrieval task. This article is a review conducted in the field of web usage mining and its latest works for supporting the research on efficient information retrieval based on user access pattern. This survey analyzes 25 released information retrieval models to find out the major mining techniques applied in them and also to analyze the effect of diverse parameters like feedbacks, time, content, frequency etc in information retrieval. The goal of this survey is to find the best composition of features to be included in an efficient information retrieval model. Using those features a new retrieval model is then proposed. General TermsInformation Retrieval, Web Usage Mining.

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Section: User Navigational Patterns-a Road Mapmentioning

confidence: 99%

Intelligent Web Information Retrieval based on User Navigational Patterns

Prasanth¹,

Hemalatha²

2015

IJCA

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“…Their method collected usage data from different users and then found the similarities between all pairs of users. Experimental results generate correct suggestions that retrieve relevant documents to the user [11].…”

Section: Related Workmentioning

confidence: 99%

An Efficient Hybrid Usage-Based Ranking Algorithm for Arabic Search Engines

Hajeer

Ismail

Badr

et al. 2015

Computational Science and Its Applications -- ICCSA 2015

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Abstract. There are billions of web pages available on the Internet. Search Engines always have a challenge to find the best ranked list to the user's query from those huge numbers of pages. A lot of search results that correspond to a user's query are not relevant to the user's needs. Most of the page ranking algorithms use Linkbased ranking (web structure) or Content-based ranking to calculate the relevancy of the information to the user's need, but those ranking algorithms might be not enough to provide a good ranked list for the Arabic search. So, in this paper we proposed an efficient Arabic information retrieval system using a new hybrid usage-based ranking algorithm called EHURA. The objective of this algorithm is to overcome the drawbacks of the ranking algorithms and improve the efficiency of web searching. EHURA was applied to 242 Arabic Corpus to measure its performance. The result shows our proposed EHURA algorithm improves the precision over the Content-Based ranking algorithm representation, as well as the recall is affected too in this improvement. IntroductionThe amount of information in the world is increasing exponentially through the years. Searching within this huge amount of information becomes a critical behavior of our life. Millions of users interact with search engines daily around the globe; more than 360 of them are Arab ones [1,2]. Recently, due to the growing number of internet users around the world, information retrieval (IR) has become of great importance as an essential tool for all tasks of searching on the web. The number of Arab Internet users has increased recursively over the years because of the changes in the requirements of the life. Relatively fewer Arabic search engines are currently available despite the enormous efforts to satisfy the needs of the growing number of Arabic internet users. Moreover, Arabic is a highly inflected language and has a complex morphological structure, which makes information retrieval on Arabic texts a challenge [3].Most of existing web search engines often calculate the relevancy of web pages for a given query by counting the search keywords contained in the web pages, this

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