On September 9, Bing announced improvements to its autocomplete technology for queries associated with academic papers and movies.
In the announcement, the new autocompelete features that dealt with academic paper queries was originally launched earlier this year. Using technology that was designed by Microsoft’s Cognitive Services and Academic Search team, Bing’s new autocomplete suggestions for academic-related searches make it possible for users to, “…explore the relationships between papers, authors, topics and publications through a large object graph.”
Bing says academic queries like “find all papers by an author,” “find a paper written by particular co-authors,” or “find a paper about a specific topic presented at a conference” will surface real-time autocomplete suggestions that are “the most relevant” to the search.
When it comes to movie-related searches, the updated autocomplete feature will help users formulate their query by analyzing the user’s natural language input and then determine intent to surface the most likely interpretations.
Previously, Bing’s autocomplete suggestions would depend on a user’s previous queries and search trends. With the newly updated autocomplete features, for both academic papers and film, will work even if you’ve never done a query before on the site. “This system can generate extensions to the query even if no user has ever typed them in before, allowing additional, never-seen-before suggestions to be generated.”
Bing offered an in-depth explanation of how its new autocomplete technology works on the Bing Search Blog: More Intelligent Autocomplete: Academic and Move Search.