Hopefully there will be a similar digest for the rest of the story in future installments.Īfter watching his father's murder at the hands of the mysterious Lan Di, young Ryo seeks out the men who killed his father and in the process stolen one of two mirrors that were hidden. Using both FMV and gameplay footage (including highlights of the 70 man fight) the backstory to Shenmue II is told. Clocking in at approximately 90 minutes, the film was culled together using many of the key sequences from the Dreamcast game. The story of Ryo Hazuki is a classic one of family vengeance, and players new to the saga will be brought up to speed rather quickly with the included DVD of Shenmue The Movie (which was released in Japan). The wait is most definitely worth it though, even if you haven't played the original. While European Dreamcast owners got to play the game quite a while ago, it wasn't until almost a year after the Xbox launched, nearly a full two years after the original Shenmue that the sequel (really a continuation of the story) to the Dreamcast critical darling arrives. Microsoft stepped up to the plate backing SEGA and Suzuki-san's dream, giving Shenmue II a place to call home, at least in North America. With the Shenmue saga reportedly lasting 16 chapters, there's a lot of story left to tell. With SEGA going third party, the chances of further chapters appearing seemed a little less likely, especially when a European release happened for the second part of Suzuki-san's epic story of a young man's quest for vengeance and answers, and didn't for North America. Shenmue II was originally scheduled to appear on the Dreamcast console in North America to continue the story. Shenmue appeared on the Dreamcast to critical acclaim. Shenmue II recaps, then picks up where the Dreamcast original left off. in onload_func Status: 200 OK X-Diffbot-Render-Hostname: choi5 Content-Type: text/html charset=utf-8 X-Location: ,"Diffbot,Dreamcast,List of HTTP status codes,Shenmue II,Video game console,Hostname,Character encoding,Video game,UTF-8,Shenmue","The most ambitious videogame project arrives on the most ambitious videogame console. Tung determined that all content on the web can be categorized into 18 or so different “page types” (like a home page, social networking profile, review etc.) that can be visually analyzed using layout and contextual cues.", The idea, which has gathered $2 million in seed funding, is simple. Investors Back Diffbot’s ‘Visual Learning Robot’ for Web Content,dT16:15,Lizette Chapman,WSJ,"Robot,Content (media),World Wide Web,Learning,Stanford University,Diffbot,Investor","Mike Tung wants to take the web apart and re-build it for a new audience: computers.Ī graduate of Stanford University’s Artificial Intelligence program, Tung created Diffbot with the goal of creating a visual learning robot that extracts and analyzes web content the same way humans do. Write to Lizette Chapman at Follow her on Twitter at a point now where our servers are going down., ""I make customer intros, but it kind of sells itself,"" said Mr. He pointed to Diffbot being used with within apps at AOL, OnSwype and others. Individual investors include Sky Dayton, founder of EarthLink Andy Bechtolsheim, co-founder of Sun Microsystems Joi Ito, director of the MIT Media Lab, Brad Garlinghouse, CEO of YouSendIt and executives from Facebook, Twitter and Yahoo.ĭayton, who visits the start-up about once a week, has helped with hiring and in talking to customers. Tung said that along with expanding the team with a few key hires, Diffbot will expand from the current two categories in news and home pages it now covers to the other 16 or so.ĭiffbot investors include Stanford accelerator StartX, where Tung is still an entrepreneur in residence, as well as Matrix Partners. ""We're at a point now where our servers are going down,"" he said, referring to the increasing demand by developers for the technology. Tung, who heads the six-person team, said he waited as long as he could to raise the seed round, which closed this month. They then use that data for applications they're developing to mobilize websites, migrate content management systems, generate tags and aggregate articles, among other things. Investors Back Diffbot’s ‘Visual Learning Robot’ for Web Content,dT20:15,Lizette Chapman,WSJ,"Palo Alto,Diffbot,investor,Brad Garlinghouse,content management system","So, just like people, Diffbot looks at a webpage and instantly identifies the important objects on the page while stripping out other components like advertising banners and privacy policies that are not core to the person's reason for visiting the page.ĭiffbot makes its APIs available to developers-the Palo Alto, Calif.-based start-up is now processing 100 million API calls each month-who are using it for to transform the web into a usable database. Title,date_str,author,siteName,tags_label,text,sentiment,pageUrl,quotes_quote,
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