2005 IEEE International Conference on E-Technology, E-Commerce and E-Service
DOI: 10.1109/eee.2005.101
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Personalization Techniques for Web Search Results Categorization

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Cited by 7 publications
(6 citation statements)
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“…Qiu & Cho (2006) suggested that personalised searches could improve the user experience by presenting users with information, resources, services and products most compatible with their perceived preferences, simply identified by algorithmic search results (Venugopal et al, 2009). Others such as Xu et al (2008) and Garofalakis et al (2005) highlighted the amount of time a user could save through personalisation and the provision of relevant results, attempting to overcome the challenges of the attention crash (Pariser, 2011). As more and more users identified the web as their main source for information, personalisation became a way to sift through the masses of information available online.…”
Section: Personalised Searchmentioning
confidence: 99%
“…Qiu & Cho (2006) suggested that personalised searches could improve the user experience by presenting users with information, resources, services and products most compatible with their perceived preferences, simply identified by algorithmic search results (Venugopal et al, 2009). Others such as Xu et al (2008) and Garofalakis et al (2005) highlighted the amount of time a user could save through personalisation and the provision of relevant results, attempting to overcome the challenges of the attention crash (Pariser, 2011). As more and more users identified the web as their main source for information, personalisation became a way to sift through the masses of information available online.…”
Section: Personalised Searchmentioning
confidence: 99%
“…Many articles discuss the problem of efficient Web service discovery mechanisms in repositories [11] [7]. In [13], the authors propose a Semantic Web services Clustering (SWSC) method that extends the semantic representation of Web services.…”
Section: Related Workmentioning
confidence: 99%
“…A recent trend to personalizing web searching is introduced in [10], [4], [5]. Those papers introduce a novel approach to construct user profiles; they construct profiles with the aid of a category hierarchy (an ontology can also be used), which contains the categories chosen by users to best reflect their individual preferences.…”
Section: Introductionmentioning
confidence: 99%