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Proceedings ArticleDOI

User Web Search Behaviour

19 Nov 2010-pp 549-554
TL;DR: This work contemplates the nature of searches made and how they evolve from time to time and examines and construe data from various angles and provides suggestions and conclusions for a better, more personalized and relevant search.
Abstract: Since the inception of the web searching technology, people have been searching for almost everything and anything on the internet. The ever-increasing dependency of users on these search engines and the dynamic nature of the World Wide Web has reduced the accuracy of the search results and increased the search time of an individual. Today, more than ever before, there is a need for search engines to be relevant and precise to the user’s needs and to be able to make decisions about what the user wants to search, and should be able to suggest him similar or related topics of his interest. This increasing need of the search engine to become a decision engine [1] (term coined by Stefan Weitz [2]) brought to fore various creative technological ideas like Tag clouds and AutoComplete [3]. For a better and more relevant search experience, it is crucial that we study the present search behavior of users and its corresponding response by the search engine. This work contemplates the nature of searches made and how they evolve from time to time. In this paper we examine and construe data from various angles and then provide our suggestions and conclusions for a better, more personalized and relevant search.
Topics: Search analytics (70%), Personalized search (66%), Semantic search (65%), Phrase search (65%), Metasearch engine (64%)
Citations
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01 Jan 2013-
TL;DR: Proposed system introduces an association rule mining algorithm to collect the travel related query patterns and travel patterns from the original personal mobile search engine profile to discover regularities between normal patterns and query related patterns in the personalized mobilesearch engine result.
Abstract: In mobile based search major problem is that interaction between the user and search are controlled by little numeral of factors in the mobile plans. By observing of necessitate for dissimilar types of concepts, present personalized mobile search engine (PMSE), it capture the user preferences concepts by mining click through data. In PMSE the user preferences are ordered in an ontology-based, user profile to adapt a personalized ranking function for future search results. In proposed system introduce an association rule mining algorithm to collect the travel related query patterns and travel patterns from the original personal mobile search engine profile. Association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. They introduced association rules for discovering regularities between normal patterns and query related patterns in the personalized mobile search engine result.

2 citations


Cites background from "User Web Search Behaviour"

  • ...First, a document usually embodies only a few location concepts, and thus only very few of them cooccur with the query terms [12] in web-snippets....

    [...]


Proceedings ArticleDOI
25 Sep 2015-
TL;DR: An efficient and novel web search based on the individual classification and clustering method that classified the cluster data using frequent pattern mining and multilevel association rules for recurring relationship and cluster the web usage using Hierarchical methods with the navigating site and user interest for personalization.
Abstract: The increases in the information resources on the World Wide Web in search of the necessary information, as users navigate the Web with multiple sites. When user surfing the web which is a huge and complicated often miss their required searching pages. Web personalization is based on the Web usage logs of user's makes advantage of the knowledge required for the analysis of the content and structure of web sites promising to solve this problem by supporting one of the procedures. The search engine can affect the effectiveness of existing approaches, depending on the user profile, which is building more and more on the web pages or documents. In this paper, we propose an efficient and novel web search based on the individual classification and clustering method. The proposed approach classified the cluster data using frequent pattern mining and multilevel association rules for recurring relationship and cluster the web usage using Hierarchical methods with the navigating site and user interest for personalization. This approach process in advance to support the real time personalization and minimizes the cost reduction of preparation personalization resource in real time. The proposed approach is an effective personalization to the user's interest; in experimental research it has shown high precision measures.

1 citations


Cites background from "User Web Search Behaviour"

  • ...A typical search engine provides substantially similar results regardless of the intention of the user [1][2][3]....

    [...]



References
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Book
11 Jul 2006-
Abstract: What happens when the bottlenecks that stand between supply and demand in our culture go away and everything becomes available to everyone? The Long Tail is a powerful new force i n our economy: the rise of the niche. As the cost of reaching consumers drops dramatically, our markets are shifting from a one-size-fits-all model of mass appeal to one of unlimited variety for unique tastes. From supermarket shelves to advertising agencies, the ability to offer vast choice is changing everything, and causing us to rethink where our markets lie and how to get to them. Unlimited selection is revealing truths about what consumers want and how they want to get it, from DVDs at Netflix to songs on iTunes to advertising on Google. However, this is not just a virtue of online marketplaces; it is an example of an entirely new economic model for business, one that is just beginning to show its power. After a century of obsessing over the few products at the head of the demand curve, the new economics of distribution allow us to turn our focus to the many more products in the tail, which collectively can create a new market as big as the one we already know. The Long Tail is really about the economics of abundance. New efficiencies in distribution, manufacturing, and marketing are essentially resetting the definition of what’s commercially viable across the board. If the 20th century was about hits, the 21st will be equally about niches.

1,999 citations


01 Jan 2006-
Abstract: concise summary of a different business book. Each summary is about 8 pages long and contains the stripped-down essential ideas from the entire book in a time-saving format. By investing less than one hour per week in these summaries, subscribers gain a working knowledge of the top business titles. Subscriptions are available on a monthly or yearly basis. Further information is available at www.summaries.com. THE LONG TAIL

1,201 citations


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No. of citations received by the Paper in previous years
YearCitations
20171
20151
20131