Microsoft researchers are seeking ways to improve internet search results by looking at how people use and interact with search engines.
Accurately modelling and interpreting users' interactions with search engines can improve search results, according to two papers presented at the Association for Computing Machinery Special Interest Group on Information Retrieval conference in Seattle last week.
The Microsoft research team said looking at the way users browse through search results could help detect "click-spam", improve the personalisation of web searches and enhance the user experience.
They argued that robust new techniques to analyse and understand the relationship between user interactions and result quality were needed to achieve this.
The research discussed how patterns of user behaviour could be used to improve the algorithms that rank results from web searches.
Researcher Eugene Agichtein said, "By examining click-through and browsing patterns across a large number of users, we are able to learn a great deal about how people interact with search technologies and can thereby improve our accuracy dramatically."
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