Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The World Wide b is highly dynamic and is constantly evolving to cover the latest information about the physical and social updates in the world. At the same time, the changes in b contents are entangled with new information needs and time-sensitive user interactions with information sources. To address these temporal information needs effectively, it is essential for the search engines to model b dynamics and understand the changes in user behavior over time that are caused by them.   In this full-day tutorial,  focus on modeling time-sensitive content on the b, and discuss the state-of-the-art approaches for integrating temporal signals in b search.  address many of the related research topics including those associated with searching dynamic collections, defining time-sensitive relevance, understanding user query behavior over time, and investigating the mains reasons behind content changes.  also cover algorithms, architectures, evaluation methodologies and metrics for time-aware search, and discuss the latest breakthroughs and open challenges, both from the algorithmic and the architectural perspectives.
['Kira Radinsky', 'Fernando Diaz', 'Susan T. Dumais', 'Milad Shokouhi', 'Anlei Dong', 'Yi Chang']
I am writing a research paper on a idea Temporal web dynamics and its application to information retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Temporal web dynamics and its application to information retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The World Wide b is highly dynamic and is constantly evolving to cover the latest information about the physical and social updates in the world. At the same time, the changes in b contents are entangled with new information needs and time-sensitive user interactions with information sources. To address these temporal information needs effectively, it is essential for the search engines to model b dynamics and understand the changes in user behavior over time that are caused by them.   In this full-day tutorial,  focus on modeling time-sensitive content on the b, and discuss the state-of-the-art approaches for integrating temporal signals in b search.  address many of the related research topics including those associated with searching dynamic collections, defining time-sensitive relevance, understanding user query behavior over time, and investigating the mains reasons behind content changes.  also cover algorithms, architectures, evaluation methodologies and metrics for time-aware search, and discuss the latest breakthroughs and open challenges, both from the algorithmic and the architectural perspectives."}]