Bing improves autocomplete suggestions for academic paper & movie title queries
Bing says autocomplete suggestions for movies will analyze a user's natural language and intent to deliver the most likely interpretations.
Today, Bing announced improvements to its autocomplete technology for queries associated with academic papers and movies.
According to the announcement, Bing originally launched its new autocomplete features around academic paper queries earlier this year. Using technology 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.
For movie-related searches, Bing says its newly updated autocomplete feature helps users formulate their query by analyzing the user’s natural language input, and then determining intent (with “lightning-fast” technology) to surface the most likely interpretations.
While Bing’s previous autocomplete suggestions depended on a user’s previous queries and search trends, Bing says the newly updated autocomplete features – for both films and academic papers – work even if it’s the first time the query has ever been searched 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.