{"id":274659,"date":"2005-05-10T00:00:48","date_gmt":"2005-05-10T07:00:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=274659"},"modified":"2018-10-16T21:16:14","modified_gmt":"2018-10-17T04:16:14","slug":"analysis-topic-dynamics-web-search","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/analysis-topic-dynamics-web-search\/","title":{"rendered":"Analysis of Topic Dynamics in Web Search"},"content":{"rendered":"
We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions for individuals and groups of users.\u00a0 We explore temporal dynamics by comparing the accuracy of the models for predicting topic transitions at increasingly distant times in the future.\u00a0 Finally, we discuss directions for applying models of search topic dynamics.<\/p>\n","protected":false},"excerpt":{"rendered":"
We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions for individuals and groups of users.\u00a0 We explore temporal dynamics by comparing the accuracy of the models for predicting topic transitions at increasingly distant times 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