By Rafael Andres Gonzalez Rivera, Rafael Andres Gonzalez Rivera, Nong Chen, Ajantha Dahanayake
ISBN-10: 1599045109
ISBN-13: 9781599045108
International info retrieval and at any place, each time details entry has encouraged a necessity to layout and version the personalised details seek in a versatile and agile means that could use the explicit personalization innovations, algorithms, and to be had know-how infrastructure to meet high-level sensible necessities for personalisation.
Personalized details Retrieval and entry: recommendations, tools and Practices surveys the most techniques, equipment, and practices of custom-made info retrieval and entry in todays info extensive, dynamic, and allotted atmosphere, and gives scholars, researchers, and practitioners with authoritative insurance of contemporary technological advances which are shaping the way forward for globally dispensed info retrieval and at any place, every time info entry
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Additional resources for Personalized Information Retrieval and Access: Concepts, Methods and Practices
Example text
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Such a domain image can be presented in the form of ontologies (Chen, 2006). RVDOD %ORFNHHO &DSWXULQJ the content of Web data in ontologies is the ¿UVWVWHSWRZDUGVWKHEXLOGLQJRI6HPDQWLF Web applications. Thus, natural language text is considered as the most important source data of ontologies for the Semantic Web (Maedche, 2003). Although techniques and tools for ontology construction have been developed over the last decade, they provide little support to EXLOGLQJRQWRORJLHVLQDQHI¿FLHQWHQJLQHHUing manner.
However, the design of a more appropriate context factor scale requires more efforts. An important issue with taking a hierarchical clustering approach is the need of pre-processing source data. Since existing clustering algorithms require input in numeric form, coding text and scaling them to numbers can result in the loss of semantics (“meaning”) in text. Therefore, careful pre-processing is essential. A common approach is to perform term extraction. , 2005). Another important issue is the post-processing of 22 resultant clusters, referred to as cluster labeling, a semantic problem.
Personalized Information Retrieval and Access: Concepts, Methods and Practices by Rafael Andres Gonzalez Rivera, Rafael Andres Gonzalez Rivera, Nong Chen, Ajantha Dahanayake
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