Next Generation of Search Engines unveiled

Scientists at Microsoft Corp. are developing new techniques for analyzing search click-through patterns and browsing behaviours to make search results more relevant.

Microsoft researchers Eugene Agichtein, Eric Brill, Susan Dumais and Robert Ragno report that accurate modelling and interpretation of user interactions with a search engine can significantly improve search-result ranking, the detection of ‘click-spam,’ Web search personalization and, ultimately, the overall Web search experience.

While user interactions with the Web search engines are plentiful, new robust techniques are required to understand the relationship between user interactions and result quality.

The paper detailing this research is called ‘Learning User Interaction Models for Predicting Web Search Result Preferences’.