Abstract: The present invention is directed to a method and system for determining user interaction patterns. The method and system comprises generating a plurality of atomic sessions by grouping search events related to a user and a query string using a search engine. The method and system includes using the atomic sessions, constructing a first query chain based on actions of the user to satisfy an information need. The method and system includes dividing the first query chain into at least one smaller chain by both a time factor and a query similarity factor. And the method and system includes determining user-interaction patterns relating to the search engine using the at least one smaller chain.

Abstract: The present invention is directed to a method and system for determining user interaction patterns. The method and system comprises generating a plurality of atomic sessions by grouping search events related to a user and a query string using a search engine. The method and system includes using the atomic sessions, constructing a first query chain based on actions of the user to satisfy an information need. The method and system includes dividing the first query chain into at least one smaller chain by both a time factor and a query similarity factor. And the method and system includes determining user-interaction patterns relating to the search engine using the at least one smaller chain.

Abstract: A method and system for automatically calculating, regarding an input search query, a score for evaluating a new query or URL which is a candidate for recommendation information according to a user's search intention. To this end, a recommendation server 10 extracts recommended queries or URLs regarding a certain query, and configures a graph structure in which a plurality of queries are sequentially connected via URLs, based on historical data of URLs searched and browsed by the user in the past. The recommendation server 10 then calculates a score for indicating a degree of popularity of each query, by analyzing a relationship between input and output of edges, i.e. a linking relationship of URLs, in which each query is a node in this graph structure.