Menu bets on semantic search, targeting special audiences bets on semantic search, targeting special audiences

However, the search engine player hasn't been able to grow its market share of queries

In the past eight months, has unfurled a set of changes to its search engine that the IAC unit calls a success, although its share of U.S. search queries has actually shrunk during that time period.

In October 2008, announced it had sharpened the relevance of its search results, made the engine faster, simplified the site's layout and boosted its ability to handle queries in natural language through semantic search technology.

In January of this year, it struck a broad marketing and technology deal with NASCAR (National Association for Stock Car Auto Racing) intended to attract its more than 75 million fans to

However,'s share of U.S. search queries dropped from 4.5 percent in May 2008 to 3.9 percent in May of this year, while market leader Google grew its share from 61.8 percent to 65 percent, according to comScore.

Things looked brighter for several years ago. For example, in November 2005, Google handled almost 40 percent of all U.S. queries, while placed fifth with 6.5 percent, according to comScore.

Scott Garrell, president of Ask Networks, views things from a different perspective, pointing out that's queries are growing. The search engine handled 486 million U.S. queries in May 2008 and 555 million in May of this year, according to comScore. "In a very tough and competitive market, we're holding our own," he said in an interview.

Garrell also points out that and the other sites that make up the Ask Network, like, are collectively the sixth-largest Web property in the U.S., ahead of powerhouses like eBay, Facebook, Wikipedia and Amazon, according to comScore.

Garrell is particularly encouraged by's advances in semantic search and in its attempts to attract specific audiences like NASCAR fans to the search engine.

Semantic search is a problematic term because different search providers define it in various terms. In general, it refers to search technology that lets an engine understand the meaning of text, whether in a query or in a search result, so that users can phrase queries in natural language instead of keywords.

"People don't talk in keywords," Garrell said.

Back in the mid-to-late 1990s, when was known as Ask Jeeves and the world hadn't heard of Google, was a leading search engine, known for encouraging people to type in queries in the form of regular questions.

According to Garrell, that perception persists, although after the dot-com bubble burst, Ask Jeeves abandoned the consumer search market for several years to focus on enterprise search, before reversing course in 2003.

"We get more queries in the form of a question than the industry average, and we get queries that are longer," he said.

Consequently, considers it essential to be the best search engine at semantic search, which is why it has invested much time and effort in its question-and-answer search engine. Introduced in October, this Q&A engine uses semantic search technology to interpret questions and return relevant answers found on the Web. Last month, announced that the engine has a database of 300 million question-and-answer pairs.

In addition, has reaped very good results from its collaboration with NASCAR, which included the selection of as's official search engine, the launch of a NASCAR-branded browser toolbar and the sponsorship by of a racing car, he said.

Garrell thinks can pursue this "audience-centric" strategy with eight to 10 vertical markets per year, having seen that it's an effective and interesting approach to promoting and growing usage of the search engine.

It remains to be seen whether these and other initiatives will allow to grow its share of queries in a market so vastly dominated by Google.

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