Yebol Web Search: Semantics, Facets, and More
September 28, 2009
“Do We Really Need Another Search Engine?” is an article about Yebol. Yebol is another search engine. The write up included this description of the new system:
According to its developers, “Yebol utilizes a combination of patented algorithms paired with human knowledge to build a Web directory for each query and each user. Instead of the common ‘listing’ of Web search queries, Yebol automatically clusters and categorizes search terms, Web sites, pages and contents.” What this actually means is that Yebol uses a combination of methods – web crawlers and algorithms combined with human intelligence – to produce a “homepage” for each and every search query. For example, search Bell Canada in Yebol and, instead of a Google-style listing of results, you’re presented with a “homepage” that provides details about Bell’s various enterprises, executives, competitors as well as a host of other information including recent Tweets that mention Bell.
The site at http://www.yebol.com includes the phrase “knowledge based smart search.” I ran a query for Google and received a wealth of information: links, facets, hot links to Google Maps, etc.
My search for dataspace, on the other hand, was not particularly useful. I anticipate that the service will become more robust in the months ahead.
The PC World write up about Yebol said:
At launch, Yebol can provide categorized results for more than 10 million search terms. According to the company it intends to provide results for ‘every conceivable search term’ in the next three to six months.
The founder is Hongfeng Yin, was a senior data mining researcher at Yahoo! Data Mining Research team, where he built the core behavioral targeting technologies and products which generate multi-hundred millions revenue. Prior to Yahoo, he was a software manager and Sr. staff software engineer with KLA-Tencor. He worked several years on noetic sciences and human think theory with professor Dai Ruwei and professor Tsien Hsue-shen (Qian Xuesen) at Chinese Academy of Sciences. He has a Ph.D. in Computer Science from Concordia University, Canada and Master degree from Huazhong University of Science and Technology, China. Hongfeng has multiple patents on search engine, behavioral targeting and contextual targeting.
The Yebol launch news release is here. The challenge will be to deliver a useful service without running out of cash. The use of patented algorithms is a positive. Combining these recipes with human knowledge can be tricky and potentially expensive.
Stephen Arnold, September 28, 2009
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