Project Report Ranking Web Search Results Using Personal Preferences
نویسندگان
چکیده
The diversity of content on the web has exploded exponentially, while our vocabulary to parse it remains at a relative plateau. It is increasingly difficult for search engines to understand what the user really wants by considering only the query terms [1]. For instance, a wildlife photographer searching for “jaguar” is probably looking for information on the animal, while an automobile enthusiast is probably looking for the sports car. In this paper, we present a study of algorithms for personalizing search results based on the user’s search history.
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