Finnish Content Discovery Case Study
July 31, 2015
There are many services that offer companies the ability to increase their content discover. One of these services is Leiki, which offers intelligent user profiling, context-based intelligence, and semantic SaaS solutions. Rather than having humans adapt their content to get to the top of search engine results, the machine is altered to fit a human’s needs. Leiki pushes relevant content to a user’s search query. Leiki released a recent, “Case Study: Lieki Smart Services Increase Customer Flow Significantly At Alma Media.”
Alma Media is one of the largest media companies in Finland, owning many well-known Finnish brands. These include Finland’s most popular Web site, classified ads, and a tabloid newspaper. Alma Media employed two of Leiki’s services to grow its traffic:
“Leiki’s Smart Services are adept at understanding textual content across various content types: articles, video, images, classifieds, etc. Each content item is analyzed with our semantic engine Leiki Focus to create a very detailed “fingerprint” or content profile of topics associated with the content.
SmartContext is the market leading service for contextual content recommendations. It’s uniquely able to recommend content across content types and sites and does this by finding related content using the meaning of content – not keyword frequency.
SmartPersonal stands for behavioral content recommendations. As it also uses Leiki’s unique analysis of the meaning in content, it can recommend content from any other site and content type based on usage of one site.”
The case study runs down how Leiki’s services improved traffic and encouraged more users to consume its content. Leiki’s main selling point in the cast study is that offers users personal recommendations based on content they clicked on Alma Media Web sites. Leiki wants to be a part of developing Web 3.0 and the research shows that personalization is the way for it to go.
Whitney Grace, July 31, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Organizations Should Consider Office 365 Utilization
July 30, 2015
Office 365 has been a bit contentious within the community. While Microsoft touts it as a solution that gives users more of the social and mobile components they were wishing for, it has not been widely adopted. IT Web gives some reasons to consider the upgrade in its article, “Why You Should Migrate SharePoint to Office 365.”
The article says:
“Although SharePoint as a technology has matured a great deal over the years, I still see many businesses struggling with issues related to on-premises SharePoint, says Simon Hepburn, director of bSOLVe . . . You may be thinking: ‘Are things really that different using SharePoint on Office 365?’ Office 365 is constantly evolving and as I will explain, this evolution brings with it opportunities that your business should seriously consider exploring.’”
Of course the irony is that with the new SharePoint 2016 upgrade, Microsoft is giving users a promise to stand behind on-premise installations, but they are continuing to integrate and promote the Office 365 components. Only time and feedback will dictate the continued direction of the enterprise solution. In the meantime, stay tuned to Stephen E. Arnold and his Web service, ArnoldIT.com. Arnold is a longtime leader in search and his dedicated SharePoint feed is a one-stop-shop for all the latest news, tips, and tricks.
Emily Rae Aldridge, July 30, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Whither Unix Data
July 30, 2015
For anyone using open-source Unix to work with data, IT World has a few tips for you in “The Best Tools and Techniques for Finding Data on Unix Systems.” In her regular column, “Unix as a Second Language,” writer Sandra Henry-Stocker explains:
“Sometimes looking for information on a Unix system is like looking for needles in haystacks. Even important messages can be difficult to notice when they’re buried in huge piles of text. And so many of us are dealing with ‘big data’ these days — log files that are multiple gigabytes in size and huge record collections in any form that might be mined for business intelligence. Fortunately, there are only two times when you need to dig through piles of data to get your job done — when you know what you’re looking for and when you don’t. 😉 The best tools and techniques will depend on which of these two situations you’re facing.”
When you know just what to search for, Henry-Stocker suggests the “grep” command. She supplies a few variations, complete with a poetic example. Sometimes, like when tracking errors, you’re not sure what you will find but do know where to look. In those cases, she suggests using the “sed” command. For both approaches, Henry-Stocker supplies example code and troubleshooting tips. See the article for the juicy details.
Cynthia Murrell, July 30, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
An Obscure Infographic About London Coffee Shops
July 29, 2015
Here’s a unique pair of graphics, particularly of interest for anyone who can see themselves enjoying a cup of joe in London. Gizmodo presents “A Taxonomy of Hip Coffee Shop Names.” The infographic from Information is Beautiful lays out London’s hipster coffee shops by both naming convention and location. Both charts size their entries by popularity– the more popular a shop the bigger disk (coaster?) its name sits upon. The brief write-up sets the scene:
“As you walk down the sidewalk, you see a chalkboard in the distance. As you step a little closer, you smell the deep musk of coffee emanating from an artfully distressed front door. Out steps a man with a beard, a Mac slung under his arm, sipping from small re-useable flat white-sized cup. You’ve stumbled across another hip coffee shop. Now, what’s it called?
“Information is Beautiful … breaks the naming structure down by type: there are ones themed around drugs, chatter, beans, brewing, socialism and more. But they all share one thing in common: they sound just like they could be hand-painted above that scene you just saw.”
So, if you like coffee, London, hipsters, or taxonomy-graphics, take a gander. From Alchemy to Maison d’être to Window, a shop or two are sure to peak the curiosity.
Cynthia Murrell, July 29, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Monkeys Cause System Failure
July 28, 2015
Nobody likes to talk about his or her failures. Admitting to failure proves that you failed at a task in the past and it is a big blow to the ego. Failure admission is even worse for technology companies, because users want to believe technology is flawless. On Microsoft’s Azure Blog, Heather Nakama posted “Inside Azure Search: Chaos Engineering” and she explains that software engineers are aware that failure is unavoidable. Rather than trying to prevent failure, they welcome potential failure. Why? It allows them to test software and systems to prevent problems before they develop.
Nakama mentions it is not a sustainable model to account for every potential failure and to test the system every time it is upgraded. Azure Search borrowed chaos engineering from Netflix to resolve the issue and it is run by a bunch of digital monkeys
“As coined by Netflix in a recent excellent blog post, chaos engineering is the practice of building infrastructure to enable controlled automated fault injection into a distributed system. To accomplish this, Netflix has created the Netflix Simian Army with a collection of tools (dubbed “monkeys”) that inject failures into customer services.”
Netflix basically unleashes a Search Chaos Monkey into its system to wreck havoc, then Netflix learns about system weaknesses and repairs accordingly. There are several chaos levels: high, medium, and low, with each resulting in more possible damage. At each level, Search Chaos Monkey is given more destructive tools to “play” around with. The high levels are the most valuable to software engineers, because it demonstrates the largest and worst diagnostic failures.
While letting a bull loose in a china shop is bad, because you lose your merchandise, letting a bunch of digital monkeys loose in a computer system is actually beneficial. It remains true that you can learn from failure. I just hope that the digital monkeys do not have digital dung.
Whitney Grace, July 28, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Googles Chauvinistic Job Advertising Delivery
July 28, 2015
I thought we were working to get more women into the tech industry, not fewer. That’s why it was so disappointing to read, “Google Found to Specifically Target Men Over Women When It Comes to High-Paid Job Adverts” at IBTimes. It was a tool dubbed AdFisher, developed by some curious folks at Carnegie Mellon and the International Computer Science Institute, that confirmed the disparity. Knowing that internet-usage tracking determines what ads each of us sees, the researchers wondered whether such “tailored ad experiences” were limiting employment opportunities for half the population. Reporter Alistair Charlton writes:
“AdFisher works by acting as thousands of web users, each taking a carefully chosen route across the internet in such a way that an ad-targeting network like Google Ads will infer certain interests and characteristics from them. The programme then records which adverts are displayed when it later visits a news website that uses Google’s ad network. It can be set to act as a man or woman, then flag any differences in the adverts it is shown.
“Anupam Datta, an associate professor at Carnegie Mellon University, said in the MIT Technology Review: ‘I think our findings suggest that there are parts of the ad ecosystem where kinds of discrimination are beginning to emerge and there is a lack of transparency. This is concerning from a societal standpoint.’”
Indeed it is, good sir. The team has now turned AdFisher’s attention to Microsoft’s Bing; will that search platform prove to be just as chauvinistic? For Google’s part, they say they’re looking into the study’s methodology to “understand its findings.” It remains to be seen what sort of parent the search giant will be; will it simply defend its algorithmic offspring, or demand it mend its ways?
Cynthia Murrell, July 28, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Neural Networks and Thought Commands
July 22, 2015
If you’ve been waiting for the day you can operate a computer by thinking at it, check out “When Machine Learning Meets the Mind: BBC and Google Get Brainy” at the Inquirer. Reporter Chris Merriman brings our attention to two projects, one about hardware and one about AI, that stand at the intersection of human thought and machine. Neither venture is anywhere near fruition, but a peek at their progress gives us clues about the future.
The internet-streaming platform iPlayer is a service the BBC provides to U.K. residents who wish to catch up on their favorite programmes. In pursuit of improved accessibility, the organization’s researchers are working on a device that allows users to operate the service with their thoughts. The article tells us:
“The electroencephalography wearable that powers the technology requires lucidity of thought, but is surprisingly light. It has a sensor on the forehead, and another in the ear. You can set the headset to respond to intense concentration or meditation as the ‘fire’ button when the cursor is over the option you want.”
Apparently this operation is easier for some subjects than for others, but all users were able to work the device to some degree. Creepy or cool? Perhaps it’s both, but there’s no escaping this technology now.
As for Google’s undertaking, we’ve examined this approach before: the development of artificial neural networks. This is some exciting work for those interested in AI. Merriman writes:
“Meanwhile, a team of Google researchers has been looking more closely at artificial neural networks. In other words, false brains. The team has been training systems to classify images and better recognise speech by bombarding them with input and then adjusting the parameters to get the result they want.
But once equipped with the information, the networks can be flipped the other way and create an impressive interpretation of objects based on learned parameters, such as ‘a screw has twisty bits’ or ‘a fly has six legs’.”
This brain-in-progress still draws some chuckle-worthy and/or disturbing conclusions from images, but it is learning. No one knows what the end result of Google’s neural network research will be, but it’s sure to be significant. In a related note, the article points out that IBM is donating its machine learning platform to Apache Spark. Who knows where the open-source community will take it from here?
Cynthia Murrell, July 22, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Facebook and Google: Deep Learning with New Scuba Divers
July 20, 2015
The Facebook-Google type of company wants to explore the frontiers of knowledge as perceived by the science club types. Smart software may be a digital Mariana Trench which has to be turned into a tourist destination.
To achieve this, Google has 50,000 plus really smart people. Facebook has lots of people including Google alums. When the company buys and outfit for its talent or hires a pride of professionals, the firm is (perhaps unconsciously) signaling that the existing team needs upgrading. Think of a professional football team. Each year, the owners, coaches, and advisers identify new talent. Big money is paid. The young calves are placed in the herd. The older animals get to sit on the bench, maybe move into coaching, or, sad to say, become used automobile sales professionals in Dallas, Texas. Facebook, perhaps because of its Xoogler ratio, is following the same path.
I read “Welcome to the AI Conspiracy: The ‘Canadian Mafia’ Behind Tech’s Latest Craze.” Interesting. I learned:
The pace of the AI field, however, is clear. As deep learning has grown in popularity, scores of companies are racing to scoop up scarce talent while computer scientists are finally starting to flood into the field.
And:
Money is at play. An engineer proficient in deep learning can earn upward of $250,000 a year at places like Google and Facebook, according to several sources; exceptional or more experienced ones can net seven-figure salaries.
No doubt that smart software is important to big outfits. I view the recruitment of superstars in a different way:
Perhaps the smart software vehicle is more like a Honda Civic than a McLaren?
Post sale values for ageing scuba divers may plummet like a lead filled diving belt. Today’s divers are under considerable pressure to perform, particularly when cost controls surface as a concern. When MBA think blends with the science club, what looks like progress may be a signal that the problem is harder than imagined. Where do deep sea divers go to recuperate? Home again?
Stephen E Arnold, July 20, 2015
On Embedding Valuable Outside Links
July 17, 2015
If media websites take this suggestion from an article at Monday Note, titled “How Linking to Knowledge Could Boost News Media,” there will be no need to search; we’ll just follow the yellow brick links. Writer Frederic Filloux laments the current state of affairs, wherein websites mostly link to internal content, and describes how embedded links could be much, much more valuable. He describes:
“Now picture this: A hypothetical big-issue story about GE’s strategic climate change thinking, published in the Wall Street Journal, the FT, or in The Atlantic, suddenly opens to a vast web of knowledge. The text (along with graphics, videos, etc.) provided by the news media staff, is amplified by access to three books on global warming, two Ted Talks, several databases containing references to places and people mentioned in the story, an academic paper from Knowledge@Wharton, a MOOC from Coursera, a survey from a Scandinavian research institute, a National Geographic documentary, etc. Since (supposedly), all of the above is semanticized and speaks the same lingua franca as the original journalistic content, the process is largely automatized.”
Filloux posits that such a trend would be valuable not only for today’s Web surfers, but also for future historians and researchers. He cites recent work by a couple of French scholars, Fabian Suchanek and Nicoleta Preda, who have been looking into what they call “Semantic Culturonomics,” defined as “a paradigm that uses semantic knowledge bases in order to give meaning to textual corpora such as news and social media.” Web media that keeps this paradigm in mind will wildly surpass newspapers in the role of contemporary historical documentation, because good outside links will greatly enrich the content.
Before this vision becomes reality, though, media websites must be convinced that linking to valuable content outside their site is worth the risk that users will wander away. The write-up insists that a reputation for providing valuable outside links will more than make up for any amount of such drifting visitors. We’ll see whether media sites agree.
Cynthia Murrell, July 17, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Microsoft Takes SharePoint Criticism Seriously
July 16, 2015
Organizations are reaching the point where a shift toward mobile productivity and adoption must take place; therefore, their enterprise solution must follow suit. While Office 365 adoption has soared in light of the realization, Microsoft still has work to do in order to give users the experience that they demand from a mobile and social heavy platform. ComputerWorld goes into more details with their article, “Onus on Microsoft as SharePoint and OneDrive Roadmaps Reach Crossroads.”
The article states Microsoft’s current progress and future goals:
“With the advent of SharePoint Server 2016 (public beta expected 4Q 2015, with general availability 2Q 2016), Edwards believes Microsoft is placing renewed focus on file management, content management, sites, and portals. Going forward, Redmond claims it will also continue to develop the hybrid capabilities of SharePoint, recognizing that hybrid deployments are a steady state for many large organizations, and not just a temporary position to enable migration to the cloud.”
Few users chose to adopt the opportunities offered by Office 365 and SharePoint 2013, so Microsoft has to make SharePoint Server 2016 look like a new, enticing offering worthy of being taken seriously. So far, they have done a good job of building up some hype and attention. Stephen E. Arnold is a longtime leader in search and he has been covering the news surrounding the release on ArnoldIT.com. Additionally, his dedicated SharePoint feed makes it easy to catch the latest news, tips, and tricks at a glance.
Emily Rae Aldridge, July 16, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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