麻豆淫院

Research from Victoria University could help search engines understand people鈥檚 queries much better.

Although 80 percent of searches immediately find what people are looking for, sometimes it takes hours to find the right page, says Dr Daniel Crabtree, who graduated with a PhD in Computer Science at Victoria鈥檚 December Graduation.

He designed new algorithms that give search engines a better understanding of the meaning behind a user's queries.

"Search engines still throw up mixed results with ambiguous search terms. If you searched for 鈥榡aguar鈥� for instance, it could refer to the animal, the car, even an Apple operating system or 鈥�80s video game console.

"Search engines currently don鈥檛 deal with that ambiguity because they simply search for web pages that contain the words you鈥檝e entered.鈥�

He says the algorithms he has developed group pages together鈥攚hich is called clustering鈥攖o separate different interpretations.

The algorithms use statistical language models to 鈥榮ee through鈥� the search terms and capture the intended meaning of a query.

"One aspect of the model for instance is that it recognises word order. If you typed in 鈥楴ew Zealand air鈥�, for example, it would cluster results around air quality rather than Air New Zealand which is the search result you get from Google."

Dr Crabtree says his model aims to help search engines understand queries and group related words together to deliver what someone is 鈥渞eally searching for鈥�.

"Search engines don鈥檛 appear to have improved that much in recent years. That鈥檚 partly because they鈥檝e been focused on other issues, such as revising their search algorithms to stop spam or companies 鈥榞aming鈥� the search results," he says.

Although his model has been tested on a small scale and he has spoken to major search engines about his research, none of them appear to be using it yet.

"The major search engines seemed interested in hiring me a few years ago, but I鈥檓 keen to continue working on some of my other projects," says Dr Crabtree who started his first web business when he was 13 and attended Stanford Business School in 2008.

Although it has changed over the years, his original business continues as Big Fun Town鈥� bigfuntown.com 鈥� a website featuring free browser-based games.

Since doing his PhD, he has been working on a new web concept鈥斺�渇ocused on finding and sharing information on the internet鈥濃�攃odenamed Project Mandelbrot.