Zach Walton of Web Pro News recently wrote, “Image search is a cornerstone of any search engine. That’s why both Google and Bing are doing everything they can to improve image search to bring up the most relevant images for any search imaginable. While some may argue that recent changes made to Google image search make it worse, Bing is moving ahead with a new strategy that involves deep learning. So, what is deep learning? In short, it’s a type of machine learning that uses artificial neural networks to learn about and understand multiple concepts, including the abstract. In the past, computer systems had to be manually ‘trained’ to recognize patterns or specific images. With machine learning, these systems can now learn to recognize these patterns on their own. When it comes to image search quality, Bing found that integrating deep learning into its systems greatly increased the quality.” Read more
Posts Tagged ‘bing’
Interested in how schema.org has trended in the last couple of years since its birth? If you were at The International Semantic Web Conference event in Sydney a couple of weeks back, you may have caught Google Fellow Ramanathan V. Guha — the mind behind schema.org — present a keynote address about the initiative.
Of course, Australia’s a far way to go for a lot of people, so The Semantic Web Blog is happy to catch everyone up on Guha’s thoughts on the topic.
We caught up with him when he was back stateside:
The Semantic Web Blog: Tell us a little bit about the main focus of your keynote.
Guha: The basic discussion was a progress report on schema.org – its history and why it came about a couple of years ago. Other than a couple of panels at SemTech we’ve maintained a rather low profile and figured it might be a good time to talk more about it, and to a crowd that is different from the SemTech crowd.
The short version is that the goal, of course, is to make it easier for mainstream webmasters to add structured data markup to web pages, so that they wouldn’t have to track down many different vocabularies, or think about what Yahoo or Microsoft or Google understands. Before webmasters had to champion internally which vocabularies to use and how to mark up a site, but we have reduced that and also now it’s not an issue of which search engine to cater to.
It’s now a little over two years since launch and we are seeing adoption way beyond what we expected. The aggregate search engines see about 15 percent of the pages we crawl have schema.org markup. This is the first time we see markup approximately on the order of the scale of the web….Now over 5 million sites are using it. That’s helped by the mainstream platforms like Drupal and WordPress adopting it so that it becomes part of the regular workflow. Read more
Where is SEO going? A panel hosted by Aaron Bradley, Internet marketing manager at InfoMine, Inc. at this week’s Semantic Technology & Business Conference in NYC took on the issue at full force. The session, featuring Bing senior product manager Duane Forrester, semantic web strategist and independent consultant Barbara H. Starr, Swellpath SEO Team Manager Mike Arnesen, and author and analyst David Amerland (see our Q&A with him here), provided some insight into why it’s an exciting time to be working in both semantic technology and search – and why that’s also a scary proposition for some in the SEO set who’ve lived by keywords and links.
On the exciting side of things, Arnesen pointed out that it was always a somewhat unnatural process to have to advise clients to craft content so that it can match to specific keywords to get traction. “Now we can tell them to just write good content, put what you need to put on the web and it will be easier find because of semantic markup and semantic search,” he said.
[UPDATE: This panel has a new panelist! Mike Arnesen, SEO Team Manager of SwellPath will participate in New York.]
On October 3 at the New York Semantic Technology & Business Conference (#SemTechBiz), a panel of experts will tackle the issue of how Semantic Web technologies are rapidly changing the landscape of Search Engine Optimization. The panel, titled “The Semantic Web Has Killed SEO. Long Live SEO.,” is made up of Aaron Bradley, David Amerland, Barbara Starr, Duane Forrester, and Mike Arnesen.
The session will address numerous issues at the intersection of Semantic Web and SEO. As the description reads, “From rich snippets to the Google Knowledge Graph to Bing Snapshots semantic technology has transformed the look, feel and functionality of search engines.”
Have these changes undermined the ways in which websites are optimized for search, effectively “killing” SEO? Or are tried-and-true SEO tactics still effective? And what does the future hold for SEO in a semantic world?
Bing is looking for a Senior Software Development Engineer in Bellevue, WA. According to the post, “Have you ever issued a query to a search engine, and the information you got back was inappropriate or, worse yet, offensive? Or maybe you set the safesearch mode to ‘strict’, expecting the search engine to filter out explicit adult material, but were surprised with adult content making its way into the results page anyway? Here at Bing Adult Filtering team we are committed to providing a ‘safe’ search experience to Bing’s users. Our mission is to protect our users by identifying and filtering out content that is a) inappropriate for a particular age group, b) offensive and unwanted given user intent or c) illegal in a particular market. It is up to this team to ensure that, for example, a kid querying for ‘babe’ or high-schooler querying for ‘sex education’ do not get inundated with links to inappropriate material and we take tremendous pride in knowing that *we* prevent such poor experience that’s harmful both to the user as well as the Bing brand.” Read more
Nuance’s Voice Is Heard: Its Tech Featured In Samsung Galaxy Gear SmartWatch And Surfi AI Answer Engine
Nuance Communications is high-profile this week. The company has announced that Samsung’s new Galaxy Gear wearable smart watch and Galaxy Note 3 tablet will integrate its voice and language capabilities. Additionally, word comes from SpeechTrans that its new natural language processing application for Windows 8 and Windows RT, which – like Apple’s Siri – leverages Nuance’s speech recognition smarts, has been released.
Mark Hachman of PC World reports, “If Google Now is the chirpy personal assistant, always volunteering information before being asked, Microsoft’s future in intelligent virtual assistants will be more in tune with a butler, quietly hovering and making suggestions where necessary. In fact, don’t expect Microsoft to develop a competitor to either Google Now or Apple’s Siri, Microsoft’s director of Bing search, Stefan Weitz, told PCWorld in an interview. Instead, individual products within Microsoft will be able to tap into the vast collection of data that Microsoft has amassed through its partnerships with Facebook, Foursquare, LinkedIn, Yahoo, and many more—far, far beyond what Google, which has favored an independent approach, can achieve, Weitz said.” Read more
There are new Motorola Droid devices in town: The three Verizon Android 4.2 smartphones unveiled at a press event yesterday include the Motorola Droid Mini, Ultra and Maxx. The line includes what the company touts as the longest-lasting 4G LTE smartphone in the Maxx, with the vendor claiming 48 hours on a single charge, and what it says is the thinnest 4G LTE smartphone around in the Ultra. The smartphones reportedly all come with a unique Kevlar fiber 3D unibody design and a few months’ free Google Music All Access subscription, too. But what will catch the eyes of readers of this blog is the proprietary Motorola X8 Mobile Computing System that’s behind the sleek-looking handsets.
In addition to the graphics and application processor cores found within the eight-core System are two new low-power cores, one to power contextual computing and one aimed at natural language processing. Read more
Charles H. Silver of Wired Insights reports, “Google and Bing are more than just search engines – they are the very definition of how to leverage big data. Since their inception, they have been using data to build products from search, advertising to Translate to Play Music. However, data alone is no longer the golden nugget to being a successful company, in fact it’s become a pain point for many. Being able to provide inference within context to data is the next big step in data management technology.” Read more