We propose a new approach to a music search engine that can be accessed via natural language queries. As with existing approaches, we try to gather as much contextual information a...
Peter Knees, Tim Pohle, Markus Schedl, Dominik Sch...
Retrieving music from large digital databases is a demanding computational task. The cost for indexing and searching depends not only on the computational effort of measuring music...
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitab...
As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web sea...
Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Ba...
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...