A Survey on Web Search Results Personalization
Keywords:
Data mining, Information retrieval, Personalized web search, Search queries, User profile, User modelAbstract
Web is a huge information repository covering almost every topic, in which a human user could be interested. As the size and richness of information on the web increases, diversity and complexity of the tasks users tries to perform also increases. With the overwhelming volume of information on the web, the task of finding relevant information related to a specific query or topic is becoming increasingly difficult. Now a day’s commonly used task on internet is web search. User gets variety of related information for their queries. To provide more relevant and effective results to user, Personalization technique is used. Personalized web search refer to search information that is tailored specifically to a person’s interests by incorporating information about query provided. Two general types of approaches to personalizing search results are modifying user’s query and re-ranking search results. Several personalized web search techniques based on web contents, web link structure, browsing history, user profiles and user queries. This paper is to represent survey on various techniques of personalization.
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