Raul Valdes-Perez
Raul has led Vivísimo since co-founding it in June, 2000. During his tenure, he has been recognized as a top ten reader favorite for entrepreneur of the year by
Inc. magazine, a CEO of the year finalist by the Pittsburgh Technology Council, and three times as one of the fifty most important Hispanics in business and technology by
Hispanic Engineer magazine. Before Vivísimo, Raul was on the Carnegie Mellon University computer science department faculty since 1991; he is now an adjunct associate professor. His research on new methods and applications of knowledge discovery led to publishing nearly 50 journal articles in natural, social and computer science. He was a principal investigator on six grants from the National Science Foundation, served on its advisory committee for Social, Behavioral, and Economic Sciences, and was an action editor of the journal
Machine Learning. Raul received a Ph.D. in computer science at Carnegie Mellon, studying under Herbert A. Simon, and B.S. and M.S. degrees in information engineering from the University of Illinois at Chicago.
Tuesday, February 13th, 2007
In parallel with our release of Velocity version 5.5, we at Vivisimo have been speaking with a number of analysts and journalists (e.g., InformationWeek, ComputerWorld). My own comments have focused on two thoughts about the state of enterprise search.
This post focuses on the first thought: enterprise search has grown up. That is, enterprise search has reached a state of development that makes possible the speedy deployment and painless ongoing administration of a search engine that handles the full complexity of enterprises and delivers a great end-user experience. A little elaboration:
- speedy deployment means days or weeks, not many months or years
Tuesday, January 30th, 2007
John Battelle’s Searchblog mentions Zibb.com, launched by Reed Business Information to use “proprietary categorization, entity extraction and taxonomy management software … [which] automatically organizes content from hundreds of Internet sites into a vertical search engine.”
Vertical search by publishers is a worthy attempt to deal with this problem: the success of general web search engines Ask, Google, Live, and Yahoo (AGLY) - or even Clusty - as go-to places for all kinds of information threatens to diminish the brands and mindshare of specialty publishers, turning them into commodity suppliers of AGLY search results.
Thursday, January 25th, 2007
A previous post introduced a distinction between high-value enterprise information and all the rest, arguing that users and the enterprise can benefit by:
- identifying the high-value information
- indexing it in an appropriate, custom way
- spotlighting it within the search results page
For example, let’s take LECG, a NASDAQ-traded company with a market capitalization of around $438M. They have “more than 1,000 experts and professionals across 30 disciplines in 10 countries” and offer this profile:
“LECG is a leading expert services firm. Our highly credentialed experts and professional staff conduct economic and financial analyses to provide objective opinions and advice that help resolve complex disputes and inform legislative, judicial, regulatory and business decision makers.”
Wednesday, January 17th, 2007
Every enterprise has to decide how to handle its high-value, searchable information. What is high-value information, you ask? Some examples:
- descriptions of staff expertise within large service firms that essentially sell knowledge, like Accenture, law firms, and other consultancies
- product descriptions for the products for sale by a retail firm
- majors, course descriptions, research projects, centers etc. at a university
- clinician backgrounds, specialties, contact information, and photographs at a medical center
Thursday, January 11th, 2007
Nice interview of search industry commentator Steven Arnold in Government Computer News. I know and like Mr. Arnold and find his conference talks fun and informative. This remark of his is close to the mark:
This has been a time when people are realizing that enterprise search doesn’t work. Folks with enterprise search systems are really on the lookout for technologies that make search more useful for the users.
Right. If enterprise search doesn’t make users more productive, then what’s the point? But his brush paints too broadly. Enterprise search can and does work, and there are actually independent experts who test products very closely and conclude that enterprise search does work.
Tuesday, January 9th, 2007
Lynda Moulton of the Gilbane Group writes today on how confusing the enterprise search market is for buyers. She is right. My own conversations with prospects and attendees at tradeshows and conferences reveal that people just don’t know what questions even to ask about a product or vendor. But there are two different sources of confusion:
- products that aren’t quite up to the job (Lynda’s example)
- the fog of buying from a myriad of options, terminologies, technologies, etc.
Let’s take Lynda’s example of a really difficult search problem:
- Looking up an address in a directory
Monday, January 8th, 2007
Welcome to the Search Done Right blog, devoted to the challenges of enterprise search. There are many related blogs by John Battelle, Matt Cutts, Gary Price, Barry Schwartz, Danny Sullivan, Read/WriteWeb, and others. However, these excellent blogs mostly focus on web search: Google, Microsoft, Yahoo, etc.
Some questions we’ll address are: Why is enterprise search often so poor in comparison to web search? What are best practices in evaluating and buying enterprise search? What are new, good, or worthless trends and technologies? Where does enterprise search fall short? Which public web sites have good and bad site search, and why?