Reddit Search Improves with Lucidworks

November 10, 2017

YouTube might swallow all of your free time with videos, but Reddit steals your entire life with videos, plus images, GIFS, posts, jokes, and cute pictures of doggos, danger noodles, trash pandas, and floofs.  If you do not know what those are, then shame on you.  If you are a redditor, then you might have noticed that the search function stinks worse than a troll face.  According to TechCrunch, Reddit has finally given their search function a facelift, “Reddit Teams With Lucidworks To Build New Search Framework.”

Reddit has some serious stats when it comes to user searches and postings.  The online discussion platform has more than 500 million users, generates 5 million comments, and 40 million searches are conducted each day.  While one of Reddit’s search challenges is dealing with the varied content, another is returning personalized search results without redactors having to explicitly write them in the search box.

Reddit’s poor search performance is legendary and its head honchos wanted to improve it, but trying to find the time to fix it was a problem.  That is why they hired Lucidworks to do the job for them:

Caldwell said that the company went with the Lucidworks Fusion platform because it had the right combination of technology and the ability to augment his engineering team, while helping search to continually evolve on Reddit. Buying a tool was only part of the solution though. Reddit also needed to hire a group of engineers with what Caldwell called “world class search and relevance engineering expertise.” To that end, he has set up a 30-person engineering search team devoted to maximizing the potential of the new search platform.

Lucidworks currently remains in charge of fixing Reddit’s search issues, but eventually, Reddit will take over.  Within a few searches for danger noodle, floof, and doggo not only have more accurate results, but you can learn the aww language lingo through the results

Whitney Grace, November 10, 2017

Treating Google Knowledge Panel as Your Own Home Page

November 8, 2017

Now, this is interesting. Mike Ramsey at AttorneyAtWork suggests fellow lawyers leverage certain Google tools  in, “Three Reasons Google Is Your New Home Page.” He points out that Google now delivers accessibility to many entities directly on the results page, reducing the number of clicks potential clients must perform to contact a firm. He writes:

[Google] has rolled out three products that provide potential clients with information about your law firm before they get to your site:

*Messages (on mobile)

*Questions and Answers (on mobile)

*Optional URLs for booking appointments (both mobile and desktop)

 

This means that Google search results are becoming your new ‘home page.’ All three products — Messages, Questions and Answers and URLs for appointments — are accessible from your Google My Business dashboard. They appear in your local Knowledge Panel in Google. If Google really is becoming your home page, but also giving you a say in providing potential clients with information about your firm, you will definitely want to take advantage of it.

The article explains how to best leverage each tool. For example, Messages let you incorporate text messages into your Knowledge Panel; Ramsey notes that customers prefer using text messages to resolve customer service issues. Questions and Answers will build an FAQ-like dialogue for the panel, while optional URLs allow clients to schedule appointments right from the results page. Ramsey predicts it should take about an hour to set up these tools for any given law firm, and emphasizes it is well worth that investment to make it as easy as possible for potential clients to get in touch.

Cynthia Murrell, November 8, 2017

The Power of Search: Forget Precision, Recall, and Accuracy of the Items in the Results List

November 3, 2017

Thank you, search engine optimization. I now have incontrovertible proof that search which is useful to the user is irrelevant. Maybe dead? Maybe buried?

Navigate to “70 SEO Statistics That Prove the Power of Search.” Prepare to be amazed. If you actually know about precision and recall, you will find that those methods for evaluating the efficacy of a search system belong in the grave.

The “power of search” is measured by statistics presented without silliness like sample size, date, confidence level, etc. Who needs these artifacts from Statistics 101?

Let’s look at four of the 70 statistics. Please, consult the original for the full listing which proves the power of search. I like that “proves” angle too.

First, users don’t do much research. Here’s the statistic which proves the assertion “Online users just take what the system serves up”:

75% of users never click past the first page of search results.

So if you, your product, your company, or your “fake news” item does not appear at the top of a search result list or an output determined by a black box algorithm, you, your product, your company, or your “fake news” item does not exist. How’s that grab you?

Second, users are not too swift when it comes to figuring out what’s content and what’s an ad. Amazing assertion, right?

55% of searchers don’t know which links in the Search Engine Results pages are PPC ads, according to a new survey. And up to 50% of users shown a Search engine Results page screenshot could not identify paid ads.

If one can’t figure out what’s an ad, how many users can figure out if a statistic, like those which prove search is powerful, can differentiate accurate information from hogwash?

Third, search results mean trust. Sound crazy to you? No. Well, it sure does to me. Here’s the statistic that proves search eats Wheaties:

88% of consumers trust online reviews as much as they trust personal recommendations.

I believe everything I read on the Internet, don’t you?

Third, if you blog, prepare to be inundated with sales calls and maybe money. Here’s the statistics which prove that search has power:

Companies who blog have 434% more indexed pages than those who don’t. That means more leads!

I would suggest that if you company engages in hate speech, certain product sales, or violates terms of use—you will have to chase customers on the Dark Web or via i2p. By the way, I think a company is a thing, so “which” not “who” seems more appropriate. Don’t y’all agree?

Fourth, using pictures is a good thing. Hey, who has time to read? This statistic conflicts with “longer articles are better” but I get the picture:

The Backlinko study also reported that using a single image within content will increase search engine rankings.

Here’s a picture to make this write up more compelling:

image

Search has power. Really?

Stephen E Arnold, November 3, 2017

Yet Another Way to Make Search Smarter

November 3, 2017

Companies are always inventing new ways to improve search.  Their upgrades are always guaranteed to do this or that, but usually they do nothing at all.  BA Insights is one of the few companies that offers decent search product and guess what?  They have a new upgrade!  According to their blog, “BA Insight Makes Search Smarter With Smarthub.”  BA Insight’s latest offering is called the Smarthub that is specifically designed for cognitive search.  It leverages cloud-based search and cognitive computing services from Google, Elastic, and Microsoft.

Did I mention it was an app?  Most of them are these days.  Smarthub also supports and is compatible with other technology, has search controls built from metadata, machine learning personalization analytics, cognitive image processing, and simultaneous access to content from over sixty enterprise systems. What exactly is cognitive search?

‘Cognitive search, and indeed, the entire new wave of cognitive applications, are the next leap forward in information access.  These apps rest on a search backbone that integrates information, making it findable and usable.  Companies such as BA Insight are now able to not only provide better search results, but also uncover patterns and solve problems that traditional search engines can’t,’ said Sue Feldman, Co-Founder and Managing Director at the Cognitive Computing Consortium.  ‘There’s a cognitive technology race going on between the big software superpowers, which are developing platforms on which these applications are built.  Smart smaller vendors go the next mile, layering highly integrated, well designed, purpose-built applications on top of multiple platforms so that enterprises can leave their information environments in place while adding in the AI, machine learning, and language understanding that gets them greater, faster insights.’

It sounds like what all search applications are supposed to do.  I guess it is just a smarter version of the search applications that already exist, but what makes them different is the analytics and machine learning components that make information more findable and personalize the experience.

Whitney Grace, November 3, 2017

China Trusts AI to Facilitate Human Communication

November 1, 2017

With the world’s largest population, one would think that the Chinese would not have any trouble finding someone to talk to.  Apparently, China enjoys talking with robots, says the MIT Technology Review’s article, “Why 500 Million People In China Are Talking To This AI.”  Going by the name iFlyTek, the AI app acts as on-demand translation service, but it does more than translate languages.

Over 500 million Chinese are using iFlyTek to manage their conversations with other people, including dictating texts, translating accents, transcribe, and generate automated messages.  iFlyTek is programmed with all good tools related to communication: voice recognition, natural language processing, machine translation, data mining, and more.  While the app has many applications in day to day life, the translation feature still has issues and intent is lost in translation.

The iFlyTek app is used in a variety of industries, especially healthcare and driving.  Drivers issue it vocal commands sop their hands can remain on the wheel.  Also, a hospital implemented ten female-looking robots to assist the overworked medical staff.  The robots can answer questions and direct patients to the correct department.  Doctors are also using iFlyTek to dictate a patient’s medical records.  Dictation will become more important, especially since it offers people a hands-free way to get work done.  There, of course, remains problems:

Although voice-based AI techniques are becoming more useful in different scenarios, one fundamental challenge remains: machines do not understand the answers they generate, says Xiaojun Wan, a professor at Peking University who does research in natural-language processing. The AI responds to voice queries by searching for a relevant answer in the vast amount of data it was fed, but it has no real understanding of what it says.  In other words, the natural-language processing technology that powers today’s voice assistants is based on a set of rigid rules.

Vocal-based technology is becoming better, more accurate, and more reliable, but thee are still kinks in the system.

Whitney Grace, November 1, 2017

 

Natural Language Processing: Tomorrow and Yesterday

October 31, 2017

I read “Will Natural Language Processing Change Search as We Know It?” The write up is by a search specialist who, I believe, worked at Convera. The Search Technologies’ Web site asserts:

He was the architect and inventor of RetrievalWare, a ground-breaking natural-language based statistical text search engine which he started in 1989 and grew to $50 million in annual sales worldwide. RetrievalWare is now owned by Microsoft Corporation.

I think Fast Search acquired a portion of Convera. When Microsoft purchased Fast Search, the Convera technology was part of the deal. When Convera faded, one rumor I captured in 2007 was that some of the Convera technology was used by Ntent, formed as the result of a merger between Convera Corporation and Firstlight ERA. If accurate, the history of Convera is fascinating with Excalibur, ConQuest, and Allen & Co. in the mix.

In the “Will Natural Language Processing Change Search As We Know It” blog post, I noted these points:

  • Intranets incorporating NLP, semantic search and AI can fuel chatbots as well as end-to-end question-answering systems that live on top of search. It is a truly semantic extension to the search box with far-reaching implications for all types of search.
  • With NLP, enterprise knowledge contained in paper documentation can be encoded in a machine-readable format so the machine can read, process and understand it enough to formulate an intelligent response.
  • it’s good to know about established tool sets and methodologies for developing and creating effective solutions for use cases like technical support. But like all development projects, take care to create the tools based on mimicking the responses of actual human domain experts. Otherwise, you may run into the proverbial development problem of “garbage in, garbage out” which has plagued many such expert system initiatives.

Mr. Nelson is painting a reasonable picture about the narrow use of widely touted technologies. In fact, the promise of NLP has been part of enterprise search marketing for decades.

What I found interesting was the Convera document called “Accurate Search: What a Concept, published by Convera in 2002. I noted this passage on page 4 of the document:

Concept Search capitalizes on the richness of language, with its multiple term meanings, and transforms it from a problem into an advantage. RetrievalWare performs natural language processing and search term expansion to paraphrase queries, enabling retrieval of documents that contain the specific concepts requested rather than just the words typed during the query while also taking advantage of its semantic richness to rank documents in results lists. RetrievalWare’s powerful pattern search abilities overcome common errors in both content and queries, resulting in greater recall and user satisfaction.

I find the shift from a broad solution to a more narrow solution interesting. In the span of 15 years, the technology of search seems to be struggling to deliver.

Perhaps consulting and engineering services are needed to make search “work”? Contrast search with mobile phone technology. Progress has been evident. For search, success narrows to improving “documentation” and “customer support.”

Has anyone tried to reach PayPal’s customer support or United Airlines’ customer support? Try it. United was at one time a “customer” of Convera’s. From my point of view, United Airlines’ customer service has remained about the same over the last decade or two.

Enterprise search, broad or narrow, remains a challenge for marketers and users in my opinion. NLP, I assume, has arrived after a long journey. For a free profile of Convera, check out this link.

Stephen E Arnold, October 31, 2017

Google Now Searches the Digital Shelves of a Library

October 27, 2017

Google can search the Internet in mere seconds and locate nearly every single bit of information on the planet.  Except for ebooks you can rent for free from your local library…oh wait!  According to the Digital Reader, that is now possible-read the news in the article, “Google Added Local Library eBook Listings To Search Results.”

Google has undertaken the challenge to add library catalogs to its search results, at least the digital collection holdings.  Can you imagine visiting Google to search your library’s catalog?  It will now be a thing, so go ahead and search your local library holdings through Google.

Google, however, cannot access all of a public library’s holdings, the physical items are left out.  There are also some bugs in the new feature, such as an item’s availability status:

I did run into some inconsistency with this new feature. While some books would bring up the Borrow ebook card without any problem, other titles just wouldn’t trigger it. While Cixin Liu’s “Three-Body Problem” had the extra field in results, searches for N. K. Jemisin’s recent Hugo Award winner “The Obelisk Gate” didn’t trigger the same behavior.

I first thought it might have to do with availability, but the card appeared for titles with universally long waiting lists, too. Behavior was the same for search on both desktop and mobile, and I’m at a loss to explain why.

It is not perfect, but this is an excellent way for Google to connect people not only with a library’s digital collection but the physical collection as well.  Searching a library’s catalog on their website, however, still remains the best way to locate the material.

Whitney Grace, October 27, 2017

Equifax Hack Has Led to Oracle Toughening Up

October 19, 2017

According to a timely piece in SearchOracle, its parent company has muscled up in response to its recent troubles, according to the article, “Machine Learning and Analytics Among Key Oracle Security Moves.”

This comes on the heels of the infamous Equifax hack, which was made vulnerable due to a weakness in Apache Struts. To their credit, Oracle has owned up to the problem and made it public that they are not going to wilt in the face of criticism. In fact, they are doubling down:

Oracle’s effort to help IT teams reprioritize their defenses, he said, takes the form of a new unified model for organizing data, rolled out as part of an updated Oracle Management Cloud suite. Advanced machine learning and analytics will enable automated remediation of flaws like Struts…

The story continues:

(Oracle’s) approach to machine learning is uniquely its own, in the sense that it is being delivered as a core enhancement to existing offerings, and not as a stand-alone technology that is personalized by a mascot or nickname — a la Einstein from Salesforce or Watson from IBM.

We like that Oracle isn’t trying to throw the baby out with the bathwater, here. We agree, there are a lot of things to like and overhauling would not be the solution. Via analytical improvements, we suspect that Oracle will recover from the Equifax snafu and be stronger for it. They certainly sound like their focus is on that.

Patrick Roland, October 19, 2017

Google Eyes AI in China

October 19, 2017

Google wants to elbow its way into Chinese markets.  As the most populous country in the world, China is more or less an untouched by Google and it is a big, potential market for the technology company.  The South China Morning Post shares that Google is trying to get another foothold in the country: “Google Looking To Build Its Own Team Of Artificial Intelligence Specialists In China.”  Google wants to build an artificial intelligence team in China as the country plans to become the world leader in AI by 2030.  It is not unthinkable that China could obtain this title as the country is making advances in other technology fields.

Google wants a piece of the Chinese profit pie and their job postings Web site lists several opportunities in the Middle Kingdom.   Google has been posting AI job postings based in China since May.  China is not only a populous country, it is also one of the most powerful countries in the world and is stretching its wings in order to compete with more technological heavy countries such as the United States, Canada, Western Europe countries, South Korea, and Japan.

With new technological innovations comes the potential for big profits and China is ready to invest and earn.  China’s artificial intelligence market is predicted to grow 50% each year, which is much higher than the 20% the world market is expected to grow.  Google has plans to be part of that picture:

The timing of Google’s recruitment drive for artificial intelligence specialists on the mainland coincided with its creation in May of a business division, called Google.ai, dedicated solely to that field.  At Google’s annual developer conference held in San Francisco that same month, company executives announced a range of artificial intelligence initiatives. These included adopting machine learning to enhance Google Search and enabling Google Maps to automatically detect street signs.

Google has pressured China in the past to change its policies or the company would not conduct business with it.  Google, however, has caved to China’s demands and has changed itself.  It does not come as a surprise because Google is profit and research driven and China is an untapped market for it.  Emphasis on the profit portion.

Whitney Grace, October 19, 2017

Artificial Intelligence Will Make Humans Smarter at Work

October 17, 2017

Relatively no industry has been untouched by the past decade’s advances in artificial intelligence. We could go on and make a laundry list of which businesses in particular, but we have a hunch you are very close to one right now. According to a recent Enterprise CIO article, “From Buzzword to Boardroom: What’s Next for Machine Learning?” human intelligence is becoming obsolete in certain fields.

As demonstrated in previous experiments, no human brain is able to process as much data at comparable speed and accuracy as machine-learning systems can and as a result, deliver a sound, data-based result within nanoseconds.

While that should make you sit up and take notice, the article is not as apocalyptic as that quote might lead you to believe. In fact, there is a silver lining in all this AI. We humans will just have to work hard to get there. The story continues:

It must also leave room for creativity and innovation. Insights and suggestions gained with the aid of artificial intelligence should stimulate, not limit. Ultimately, real creativity and genuine lateral thinking still comes from humans.

We have to agree with this optimistic line of thinking. These machines are not exactly stealing our jobs, but forcing humans to reevaluate their roles. If you can properly combine AI, big data, and search for your role, chances are an employee, like yourself, will become invaluable instead of obsolete.

Patrick Roland, October 17, 2017

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