Structured search
Analysis of companies or products focused on structured or faceted search. Related subjects include:
Worst search UI ever
On the whole, the Barack Obama campaign has been very internet-savvy. Maybe their web site JohnMcCainRecord.com is yet another example of same. But to my eyes, it has such an appallingly bad search interface that people going to the site are apt to be annoyed. To wit:
- There a huge search box in the center of the screen.
- All the search box ever does is take you to one of the 13 categories listed right below it.
- Usually, it doesn’t even do that. Instead, it just fails. For example, I entered terrorism and hit “Go”, and got no response. Ditto nuclear energy.
- When it does give you an answer, it’s apt not to be what you were looking for. For example, entering Iran takes you to the Foreign Policy page, which contains nothing about Iran.
And then, of course, there’s the funny stuff. For example, if you search on foo, you are taken to Rural Issues.
In general terms, I like the idea of the site. But absent some serious changes, JohnMcCainRecord.com should not have a search interface.
Edit: More here in my post on The Obama campaign’s Search Engine to Nowhere
| Categories: Search engines, Structured search | Leave a Comment |
Attivio update
I talked w/ Andrew McKay of Attivio for 2 ½ hours Thursday. I’ve also been working with some Attivio engineers on a blog search engine. I think it’s time to post about Attivio. 
| Categories: Application areas, Attivio, Enterprise search, Lucene, Structured search | 6 Comments |
The Text Analytics Marketplace: Competitive landscape and trends
As I see it, there are eight distinct market areas that each depend heavily on linguistic technology. Five are off-shoots of what used to be called “information retrieval”:
1. Web search
2. Public-facing site search
3. Enterprise search and knowledge management
4. Custom publishing
5. Text mining and extraction
Three are more standalone:
6. Spam filtering
7. Voice recognition
8. Machine translation
How text search has evolved over the past 15 years
I just stumbled across a brilliant summary of evolution in text search technology, written four years ago. It’s equally valid today (which in itself says something). I found it on the Prism Legal blog, but the actual author is Sharon Flank. My own comments are interspersed in bold. Read more
| Categories: Enterprise search, Ontologies, Search engines, Structured search | Leave a Comment |
Powerset is mildly interesting
Powerset has done a great job of generating buzz for it’s version of smart search. That said, its current demo is mediocre — and that’s being polite. Powerset currently indexes little more than just Wikipedia, and the quality of its search results is about comparable to that of Wikipedia’s justly reviled internal search engine. To determine this, I did searches on both sites on five strings. Wikipedia typically had more total junk ranking higher, but it also put the very best hits of all higher than Powerset did. The strings were:
- Drosophila research
- Bill Clinton foreign policy
- Home run hitters
- Innocents on death row
- Text data mining
| Categories: Powerset, Search engines, Structured search | 4 Comments |
Implications of Microsoft’s bid for Yahoo
As I write this, Microsoft has just announced an offer to acquire Yahoo. Early responses from the likes of Danny Sullivan, Henry Blodget, the Download Squad, TechCrunch, Raven SEO, Mashable, and others seem to boil down to:
- Wow.
- Both sides needed it.
- Yahoo wasn’t going anywhere fast on its own.
- Microsoft wasn’t going anywhere fast in search on its own.
- This may be enough critical mass to matter.
- Conference call at 8:30 am
I’ll try to be a bit more analytical than that, but this is still going to be quick. Assuming the deal goes through:
- Microsoft will recombine both parts of the old FAST/alltheweb.com Therefore, Microsoft will be able to use the same technology for web and enterprise search, to the extent that such commonality makes sense.
- I’d expect Microsoft to try to differentiate its technology via faceted/structured search. That’s a FAST strength.
- The old FAST search-as-BI dream might become pretty appealing to Microsoft/Yahoo.
- In a non-search point, Microsoft is strong in games and Yahoo is strong in fantasy sports. Look for some synergies.
- There sure would be a whole lot of non-Windows technology inside Microsoft.
Basically, Microsoft is a company that’s a lot more sophisticated in its thinking about user interfaces and experiences than Yahoo is. That’s where the really interesting competitive innovation would be most likely to occur.
| Categories: Enterprise search, FAST, Microsoft, Search engines, Structured search, Yahoo | 5 Comments |
More on Microsoft in enterprise search
Following up on my prior posts about Microsoft’s impending acquisition of FAST, they’ve now had the conference call. By custom and indeed antitrust law, such calls are very light on content. But here are a few tidbits and takeaways, all from Jeff Raikes of Microsoft:
- Jeff talked solely about FAST as adding to enterprise search, and rightly contrasted that with web search.
- However, he deflected questions about web search with “We aren’t talking about that much detail right now” rather than with a firm “Well, we aren’t allowed to use FAST that way.”
- Specifically, enterprise search is all about integration with SharePoint (portal).
- Jeff said Microsoft’s current search could handle millions or maybe tens of millions of documents, but thought there was demand for FAST’s ability to handle billions.
- He positioned FAST as an application development platform, giving an example of structured search (the actual word was “pivot”) in consumer electronics. … Well, at least he’s looking in the right direction.
| Categories: Enterprise search, FAST, Microsoft, Search engines, Structured search | Leave a Comment |
Danny Sullivan thinks blended vertical search is a game-changer
Danny Sullivan thinks blended vertical search — which he’s calling Search 3.0 — is a game changer. (In this context, “vertical” search denotes alternate result types such as video, image, map coordinates, or product listings.) In saying that, he’s focused on search marketers, who now have a lot more ways to try to get their messages onto Google searchers’ top result pages. But I presume what he’s really saying is that there will be a feedback effect — if Google tells all web searchers about videos and product listings, then internet marketers will be more motivated to post videos and product listings, and hence there will be more interesting choices of videos and product listings — which Google will naturally wind up featuring more prominently in its search results. And so on.
Given the Youtube explosion, I find it hard to argue with his claim.
| Categories: Google, Search engine optimization (SEO), Search engines, Specialized search, Structured search | Leave a Comment |
Huge e-commerce gains claimed by everybody
The folks at Progress claim huge conversion rate benefits to EasyAsk, although unfortunately so far I’ve been unable to drill down and see what those numbers really mean. (Flagship customer = Land’s End.) Baynote makes more modest but still large claims. (Flagship customer = no big names that I’m aware of.) Endeca is clearly the market leader. (Flagship customers = Wal-Mart, Home Depot.) Mercado and Inquira are important players, at least in certain verticals.
I think it’s safe to say that e-commerce site navigation aids constitute a really important product category.
| Categories: Baynote, Endeca, InQuira, Mercado, Progress and EasyAsk, Search engines, Structured search | Leave a Comment |
InQuira’s and Mercado’s approaches to structured search
InQuira and Mercado both have broadened their marketing pitches beyond their traditional specialties of structured search for e-commerce. Even so, it’s well worth talking about those search technologies, which offer features and precision that you just don’t get from generic search engines. There’s a lot going on in these rather cool products.
In broad outline, Mercado and InQuira each combine three basic search approaches:
- Generic text indexing.
- Augmentation via an ontology.
- A rules engine that helps the site owner determine which results and responses are shown under various circumstances.
Of the two, InQuira seems to have the more sophisticated ontology. Indeed, the not-wholly-absurd claim is that InQuira does natural-language processing (NLP). Both vendors incorporate user information in deciding which search results to show, in ways that may be harbingers of what generic search engines like Google and Yahoo will do down the road.
