Behind the Bing It On Challenge

As I mentioned in my original post there has never been a more exciting or challenging time to be in the search space. The core to a great search engine has been and will always remain the same: delivering relevant, comprehensive and unbiased results that people can trust. We use thousands of signals from queries to documents and user feedback to determine the best search results and in turn make hundreds of improvements to our features every year...
Read More

Minimizing Answer Defects

Back in March, Jan Pedersen explored the topic of Whole Page Relevance. In the post, he outlined how Bing ranks media objects to deliver a rich set of results that go beyond just web pages using machine learning techniques. These objects include videos, images, maps, news items and assorted media objects or what we call answers. Today, Kieran McDonald will detail how we ensure that the answers are not defective and the results match the intent of...
Read More

Friends and Experts

  The foundation of web search has been built on keywords, links and clicks pointing to pages. This approach is great for finding web sites but search is more than about simply finding pages. With the help of social networks, people are able to share nearly everything they do in digital form and offer their opinions on almost every conceivable topic. From real-time streams to social conversations, connections are created that present the...
Read More

Scientific Research Contributions (I)

Researchers and engineers in Microsoft Research (MSR) and Bing R&D have been working closely together and have made significant contributions to the science of search. These contributions often start as basic research ideas published as scientific articles in international conferences and journals. These articles are reviewed by search experts from industry and academic institutions around the world, and only those that significantly advance...
Read More

To Err is Human

At Bing we’re committed to delivering you the best possible results.  While teams of researchers, machine learning experts and data miners continually improve our core spelling and ranking components, the reality is that some defects have historically slipped through the cracks. This is partly because search relies on people to teach the system and, since people make mistakes, some defects are introduced.  Our recent release, takes...
Read More

Reducing Junk

Everyone has experienced trying to follow a link that didn’t work. The link may have led to a page that is no longer available, or to a parked domain page. It can also be frustrating to find a search result page that has a missing or garbled description of where the link may take you. Considering the enormity of the web and the complexity of linking web documents , a key challenge for web search quality is the search engine’s...
Read More

Whole Page Relevance

Dr. Jan Pedersen, Chief Scientist for Core Search at Bing If you compared the results you see with Bing today with those of our search product five years ago, at first glance they might seem similar – ten blue links presented with text summaries. However, if you look closer you would see some important differences. The first thing you would notice is that many of the queries you perform today produce excellent results that would have simply...
Read More

Introducing Bing Search Quality Insights

Dr. Harry Shum, Corporate Vice President, Bing R&D I’ve been working in search at Microsoft for the last seven years and there has never been a more fascinating or challenging time to be in the search space. Today, search spans the entire spectrum of computer science from distributed systems and machine learning to natural language understanding and user experience design. The graph theory we learned in graduate school 20 years ago with...
Read More