Search Engine Optimization: The Next Frontier Is Smart SEO

April 29, 2020

Content strategy plans are the most overlooked part of any Web site design and advertising campaign. Good content is integral to selling a product or a service, but not everyone is good at creating it. News Patrolling runs down the: “Best AI Tools For Content Marketing Strategy” and how AI is becoming an industry game changer.

Content is usually the first impression consumers have of companies. It is meant to engage the consumer, then:

“It serves as a tool to communicate with your audience. If you identify their pain points to provide them with a solution, they will trust you and be more interested in buying your offerings. The growth of your business depends on content strategy. It must be as effective as possible if you do not go downhill. Artificial intelligence can help you make an effective content marketing strategy. There are various tools to help you from targeting keywords to choosing the right topic. You will be surprised to know that AI tools can create a smarter content strategy by identifying the behaviour of users. Such software can help you increase revenues and reduce cost.”

The article recommends four content marketing software: Hubpost, Quill, Clearscope, and BrightEdge. Hubpost is advertised as using machine learning to help one get an edge on competition. The software analyzes keywords to discover what consumers want, then it clusters topics based on competition level.

Quill specializes in keyword optimization and generating quality content. Clearscope also optimizes content using keywords. It helps you generate keywords based on Google data and select the best keywords to use. Once you choose a keyword and write your post, Clearscope analyzes a post with other top-ranking posts.

BrightEdge is one integrated software solution that provides performance measurement, optimization, and keywords. It is described as a one-size-fits-all for content marketing strategies.

AI can provide insights into how to create the best content, but the most important part of a content strategy plan remains creative humans.

Yep, SEO is modernizing and automating methods to ensure that ad-supported Web search engines decide what matches a query. Precision, recall, and objectivity? Forget those irrelevant concepts.

Whitney Grace, April 29, 2020

Dig.ccMixter for Royalty-Free Tunes

April 22, 2020

Here is a resource that makers (and aspiring makers) of video content and games will want to bookmark. CCMixter is an online community where musicians share their work through creative commons licenses. Dig.ccMixter is our search portal into that content, free to download and use even for commercial purposes. Scrolling down reveals three categories: instrumental music for film & video; free music for commercial projects; and music for video games. Clicking the “Dig!” button leads to a keyword search page, where you can search by attributes like genre, mood, and instruments. The site’s About page, titled Yea, But Is It Legal? explains:

“This is a community music remixing site featuring remixes and samples licensed under Creative Commons licenses. Music on this site is licensed under a Creative Commons license. You are free to download and sample from music on this site and share the results with anyone, anywhere, anytime. Some songs might have certain restrictions, depending on their specific licenses. Each submission is marked clearly with the license that applies to it.”

So there you have it—a free source of music for your projects, even ones you intend to profit from. All you have to do is give credit where credit is due.

Interestingly, developers can also access the site’s ccHost Query API. We’re told:

“The ccHost Query API is an open, publicly available interface that is available for public use, especially by 3rd party websites, mobile applications, smart TV appliances and any other network connected device. We here at ccMixter use it to help expose the artists that upload their Creative Commons licensed music to audiences that otherwise would not have access to. The API and software implementation is owned by ArtIsTech Media under a license agreement with Creative Commons. The music itself is owned by the individual artists that uploaded it to the site and agree, through the Creative Commons licenses to share the music through this mechanism.”

Bing, Google, and Yandex are not suited for some types of music search. Enter Dig.cc Mixter. Applause, please.

Cynthia Murrell, April 22, 2020

Video Search: Maybe Find That for Which You Were Looking? Ha Ha

April 9, 2020

Searching for a motion picture online? It is collective intelligence to the rescue at Ask MetaFilter’s thread, “How to Find What Streaming Services Certain Films Are On?” Canadian poster NoneOfTheAbove was perusing this 1000 Greatest Films list and asked for an easy way to locate specific films on streaming services across the web.

The obvious is stated—use Google—with the caveat that those results may not tell you if a membership is required. Another suggestion is to follow links in the movie’s IMDb description, and one respondent notes that if one already has Roku, its search results point to sources available through that subscription. A couple people point to the streaming-service consolidator JustWatch, and one suggests Reelgood as a similar platform. The most descriptive answers, though, discuss Letterboxd:

“Another option is to sign up for a free membership with Letterboxd – that is a social-media movie-logging site that is really [darn] comprehensive. You can track what movies you want to see, what movies you have seen, and make endless lists of all kinds (‘Movies with female leads,’ ‘Movies with cute dogs,’ ‘Movies with Left-Handed Protaganists,’ whatever you want). A lot of members already have their own lists tracking their progress through the 1000 Greatest Movies list. Best of all – Letterboxd links to JustWatch and you can look at the streaming availability for a given movie when you pull it up on Letterboxd. So it may be fun to sign up for Letterboxd, make your own copy of the 1000 list, and then track your viewing progress. …Letterboxd also has a paid ‘Pro’ account where you can filter such a list based on a given streaming service like Netflix, but you may find that that’s overkill.” posted by EmpressCallipygos at 11:45 AM on March 31 [1 favorite]

“Bonus of having your own Letterboxd account is that you can already mark the ones you’ve seen and quickly visually scan for the ones you haven’t seen yet, then click through per film to see on which streaming services it’s available. I’ve been going through a bunch of the Criterion Collection this way recently myself. :D” posted by rather be jorting at 12:23 PM on March 31 [2 favorites]

So there you have several options supplied by the hive mind. Even if you aren’t looking for a film right now, this list may be worth bookmarking for future reference. Finding videos remains a challenge. Search has been solved, right? Yeah, sure.

Cynthia Murrell, April 9, 2020

Hyland Updates Document Processing Platform

April 8, 2020

Remember ISYS, the Australian search system? DarkCyber does. Hyland owns the technology. In a series of updates over the last six months, content-services provider Hyland Software has added file formats, capabilities, and support to its Document Filters platform, we learn from the press release posted by ProgrammableWeb, “Hyland Document Processing Update Includes New APIs.” The company aims to provide tools that allow its clients to process any type of file an organization may encounter in a typical day. Over 550 file formats are now supported. The write-up lists the new features:

  • Text and metadata support for Apple iBook file types, Apple PList binary files, EPUB ebook file types, and Quattro Pro Spreadsheet files
  • High definition support for NCR images, MS Project Gantt Charts, Microsoft Windows Clipboard (CLP) files, Microsoft Outlook for Mac OLK15MsgSource files, Paint Shop Pro images, Windows Cursor images, X-Windows-Bitmap images, X-Windows-Pixmap images, and WordPerfect Graphics (version 1)
  • New API for extraction and processing of hierarchical bookmark information
  • New API for the extraction and processing of static PDF form data
  • Added option, DETECT_MACROS, that outputs a metadata value if macros are detected in MS Office documents
  • New API to allow for adding common annotations such as notes, lines, shapes, polygons, and stamps. *When added to PDF output, annotations are created as native PDF annotations, that a user can interact with and modify
  • New API to allow the control of graphic effects on a per page basis
  • New option, GRAPHIC_ROTATE, to allow the rotation of an entire document rendition, or individual pages via the new graphic effects API
  • Added support for mark-up and drawing functions onto an HTML5 canvas

With clients in several different industries, Hyland helps them leverage their data to better serve their own customers. It boasts that over half of 2019’s Fortune 100 companies use its products. Founded in 1991, the firm is based in Westlake, Ohio. How many years has ISYS been available? Good question, and DarkCyber knows the answer. If you said a number less than 30, you might be on a walkabout.

Cynthia Murrell, April 8, 2020

Techspert: Search and Experts

April 6, 2020

How Our AI Search Technology Finds Experts Others Can’t” provides a crunchy description about an application of artificial intelligence. Techspert.io provides a diagram of its approach:

techspert small

The idea is that the approach operates with pinpoint precision. Then a semantic search engine is used to identify context. The old school lingo was Endeca’s Guided Search or maybe side search. Then a social graph is generated. That’s a relationship map like those used by i2 Ltd’s Analysts Notebook in the early 1990s. The i2 Ltd outfit had some Cambridge grads on its team. Finally the system can identify candidates.

What’s interesting is that the pinpoint angle appears to focus on a narrow domain; that is, individuals in STM with a focus on the M (medicine, biotechnology, etc.). This approach reduces the difficulty of indexing for any business or technical discipline. Focus means that descriptive terms are narrower than general business lingo. Second, the crawling for specialized personnel becomes somewhat easier because many sites can be ignored because they are not related to medicine and related fields; for example, the garden gnome site www.designsoscano.com. Plus, the social graph complexity can be reduced by applying qualifiers that NOT out individuals and other entities unrelated to the focus of Techspert.io; for example, David Drummond and Jennifer Blakely.

Several observations are warranted:

  1. The implemented method is useful when deployed in a focused way; that is, vertical search for different “terminologies”.
  2. Scaling the approach across different content domains may require innovative engineering. And the engineering solutions will be expensive to implement, update, and enhance.
  3. Generating market magnetism will require effective marketing and sales programs. Business development must generate sufficient revenue because once certain hires are made by a company, the recruiting service is put on ice; and sustainable revenues will have to come from recruiting services which offer lower costs, perquisites to customers, etc. These factors may inhibit some venture cash investments.

Worth monitoring this firm. A pivot may be necessary due to the uncertain economic environment.

Stephen E Arnold, April 6, 2020

Semantic Search: From Whence to What

April 2, 2020

A post from semantic SEO firm InLinks traces “The Evolution of Semantic Search.” The buzzword-filled summary does relate an interesting saga, which prompts us to wonder why enterprise search results are generally still pretty poor.

The write-up traces the evolution from the card-catalogue-like directories of early Yahoo to today’s semantic search. Along the way it details these concepts and milestones: directory-based search vs. text-based search; the crawl and discover phase; JavaScript challenges; turning text into math; the continuous bag of words (COBW) and nGrams; vectors; semantic markup; and trusted seed sets. See the post for elaboration on any of these headings.

The piece concludes:

“We started the journey of search by discussing how human-led web directories like Yahoo Directory and the Open Directory Project was surpassed by full-text search. The move to Semantic search, though, is a blending of the two ideas. At its heart, Google’s Knowledge-based extrapolates ideas from web pages and augments its database. However, the initial data set is trained by using ‘trusted seed sets’. the most visible of these is the Wikipedia foundation. Wikipedia is curated by humans and if something is listed in Wikipedia, it is almost always listed as an entity in Google’s Knowledge Graph. … So in many regards. the Knowledge Graph is the old web Directory going full circle. The original directories used a tree-like structure to give the directory and ontology, whilst the Knowledge Graph is more fluid in its ontology. In addition, the smallest unit of a directory structure was really a web page (or more often a website) whilst the smallest unit of a knowledge graph is an entity which can appear in many pages, but both ideas do in fact stem from humans making the initial decisions.”

Here is where we are reminded of the post’s source—For the SEO platform, the takeaway is that what Google considers an “entity” has become key to effective SEO marketing. For our part, we look forward to the continuation of the saga, hopefully resulting in truly effective enterprise search solutions. Some day.

Cynthia Murrell, April 2, 2020

April Surprise: PhpSearch Images

April 1, 2020

For an interesting search experience, navigate to this link which is powered by the SRCH2 search system. The content available from the search box inside the fish is interesting. Running queries on the image search system can be particularly interesting.

I suppose I could provide some queries for you to test, but I will leave that to you, gentle reader.

The SRCH2 technology has been around for a number of years. I tracked down the company when I was working on the New Landscape of Search, but I decided not to include the company because it was focusing on mobile.

For information about the company, navigate to this link.

Stephen E Arnold, April 1, 2020

Swagiggle? Nope, Not an April Fooler

April 1, 2020

Big ecommerce sites like eBay and Amazon depend on a robust, accurate, and functional search engine. Without a powerful search application, searching for items on eBay and Amazon is like looking through every page of a printed catalog. The only difference is that there are millions of items compared to the thousands in one catalog. Amazon and eBay are not always accurate, especially when users edit and add content without being monitored. That means there is room for improvement and a startup to worm their way into the big leagues. Swagiggle is a:

“Swagiggle is a precision shopping search and product discovery website created by WAND, Inc. to demonstrate the capabilities of its taxonomy based product data organization and enrichment abilities featured in the WAND eCommerce Taxonomy Portal and PIM. WAND, Inc. is the world’s leading provider of pre-defined taxonomies, including the WAND Product and Service Taxonomy.

Have you ever had the experience of going to a category on an online retail site and seeing mis-categorized items? Or, a bunch of items dumped into a catch-all “Accessories” category. At Swagiggle, our goal is to provide accurate and specific categories so that our users can quickly find exactly the products they are looking for. From there, we assign product specifications so that users can filter through the items in a category and find exactly what they want.”

Wand’s Swagiggle sounds like an awesome product. Using products from its clients, Swagiggle offers an online catalog for users to search for products they wish to buy. These products range from clothing to cleaning products. The items are organized by large categories, then users man drill down to specific items or search with key words. It is a pretty standard search engine, but it has one major problem. The drilling down aspect does fill dated and half the time pictures and content would not load. The loading time is extraordinary long too. Plus, due to the variety of their clients, items offered on Swagiggle are very random. Swagiggle needs tofu the broken pictures and figure out how to make itself faster.

Whitney Grace, April 1, 2020

Dark Web Search: Specialized Services Are Still Better

March 26, 2020

Free Dark Web search is a hit-and-miss solution. In fact, “free” Dark Web search is often useless. Some experts do not agree with DarkCyber’s view, however. The reason is that these experts may not be aware of the specialized services available to government agencies and qualified licensees.

Here’s a recent example of cheerleading for a limited Dark Web search system.

A search engine does not exist for the Dark Web, until now says Digital Shadows in the article, “Dark Web Search Engine Kilos: Tipping The Scales InFavor Of Cybercrime.” Back in 2017, there used to be a search engine dubbed Grams that specialized in searching the Dark Web. It was taken down when its creator Larry Harmon, supposed operate of Helix the Bitcoin tumbling service. The Dark Web was search engine free, until November 2019 when Kilos debuted.

Kilos piggy backs on the same concept of Grams: using a Google-like search structure to locate illegal goods and services, bad actors, and cybercriminal marketplaces. Kilos has indexed more platforms, search functions, and includes many ways to ensure that users remain anonymous. Grams and Kilos are clearly linked based on the names that are units of measure.

Grams was the prominent search engine to use for the Dark Web, because it searched every where including Dream Market, Hansa, and AlphaBay and users could also hide their Bitcoin transactions via Helix. Grams did not have a powerful structure to crawl and index the Internet. Also it was expensive to maintain. This resulted in it going dark in 2017.

The argument is that Kilos is killing the Dark Web search scene as a more robust and powerful crawler/indexer. It already has indexed Samsara, Versus, Cannazon, CannaHome, and Cryptonia. Plus it has way more search functions to filter search results. Every day Kilos indexes more of the Dark Web’s content and has a unique feature Grams did not:

“Since the site’s creation in November 2019, the Kilos administrator has not only focused on increasing the site’s index but has also implemented updates and added new features and services to the site. These updates and features ensure the security and anonymity of its users but have also added a human element to the site not previously seen on dark web-based search engines, by allowing direct communication between the administrator and the users, and also between the users themselves.”

Kilos is adding more services to keep its users happy and anonymous. Among the upgrades are a CAPTCHA ranking system, faster search algorithm, a new Bitcoin mixer service, live chat, and ways to directly communicate with the administration.

Reading about Kilos sounds like an impressive search application startup, but wipe away the technology and its another tool to help bad actors hurt and break the system.

So what’s the issue? Kilos focuses on Dark Web storefronts, not the higher-value content in other Dark Web, difficult-to-index content pools.

But PR is PR, even in the Dark Web world.

Whitney Grace, March 26, 2020

Cloud Search Magic

March 26, 2020

Storing files on the cloud is a marvelous way to back up files and also free up valuable memory on devices. There is one big problem if you offload files on the cloud: finding them. There are various platforms to store files in the cloud, but Popular Science explains in the article “Find Any File In The Cloud” if you are unfamiliar with the platform it will be harder to find files.

The article explores popular cloud hosting platforms and walks readers through how to locate and search for files. The platforms examined are Google Drive, Dropbox, iCloud, and OneDrive. Each specific platform has its intricacies, but are important to master:

“But if you haven’t taken the time to explore a platform in depth, or if you use several and often get confused, you might find it harder to track down particular files compared to having them on a local hard drive. It doesn’t have to be this way, though. All the big cloud storage providers have useful tools for searching through your files and folders, whether you’re using a web browser, a desktop computer, or your phone.”

Be aware that these platforms can change based on the device accessing them. Many devices have mobile and desktop interfaces, so things are changed around if you move from one machine to another. None of these platforms are superior to the other, but users will prefer one to the other based on the type of machine they are using.

Another thing to consider when selecting a platform to use are the security parameters each one uses. The platform could be easy to use, but it also might be easy to hack.

Whitney Grace, March 26, 2020

« Previous PageNext Page »

  • Archives

  • Recent Posts

  • Meta