Personalized web search by mapping user queries to categories
Proceedings of the eleventh international conference on Information and knowledge management
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IEEE MultiMedia
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Fuelled by the rapid expansion of broadband connectivity and increasing interest in online multimedia-rich applications, the growth of digital multimedia content has skyrocketed. Among others, this growth is compounding the need for more effective methods for searching multimedia information. The automated web search engines that are currently used rely only on text descriptions and as a result provide matches of poor quality in case of multimedia content. The services of a multimedia search engine are therefore a possibility that the internet users still lack. The scope of this paper is thus to present an implementation approach for a personalised web-based multimedia search engine in the Java programming language. This approach combines the characteristics of the current search engines as well as new innovative features which guarantee at the same time the system's quick response and better search results. In this paper, the reader can find an analytical presentation of all the components required to form a multimedia search engine, as well as indications on how to implement key algorithms and functions.