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• Find all papers by an author
• Find a paper written by particular co-authors
• Find a paper about a specific topic presented at a conference
• Suggest titles or authors Bing Academic and Movie Search Intelligent Autocomplete [blogs.bing.com]
• Movies by director
• Movies starring an actor in a particular genre
• Movies from a particular year starring a certain actor
• Movies starring a pair of actors
For both academic searches and movies, the understanding of the underlying domain is represented by a graph. The data is derived from the semantic graph that Bing uses to understand the world. This is stored in a format that allows us to look up information at runtime within milliseconds, thousands of times per second as the user types. This graph store allows us to look up exact matches, such as ‘tom cruise.’ It is also able to support the notion that both ‘tom c’ and ‘tom connor cruise’ refer to the same person.
An additional benefit is that, since Bing fully understands the query that is constructed, we know that results will be returned. This avoids potentially returning ‘dead-end queries’ with no results, grammatically incorrect or misspelled queries, which can be the case with more generalized language model based synthetic queries.
understanding beyond just a database of urls.