Skip to main content

Just The Facts: Factery Labs Trims The Web Down To The Important Bits


When you go to search the web, is it because you want to read through a lengthy article related to a subject, or do you just want the facts that answer your question? Factery Labs, a new service that's launching this morning, is hoping it's the latter. Factery is a new search engine/API that uses advanced language processing to sift through content on the web to identify the most factual statements — in other words, it takes news articles and webpages and breaks them down into a handful of bulletpoints on the fly.


To give an idea of how Factery works, the company put together a simple search engine with a two-column view: one does a search for your query on Twitter and parses facts from any articles linked from those matches; the other column uses Yahoo's BOSS engine to look at articles that are less time sensitive


When you go to search the web, is it because you want to read through a lengthy article related to a subject, or do you just want the facts that answer your question? Factery Labs, a new service that’s launching this morning, is hoping it’s the latter. Factery is a new search engine/API that uses advanced language processing to sift through content on the web to identify the most factual statements — in other words, it takes news articles and webpages and breaks them down into a handful of bulletpoints on the fly.


To give an idea of how Factery works, the company put together a simple search engine with a two-column view: one does a search for your query on Twitter and parses facts from any articles linked from those matches; the other column uses Yahoo’s BOSS engine to look at articles that are less time sensitive. In this context, Factery has its hits and misses. The site stumbled on “Danville, CA” (a city in the East Bay), yielding very few results for both Twitter and BOSS. Other times it fared very well: for “Arc de Triomphe” it generated quite a few interesting facts (you can see a few in the screenshot) though it sometime seemed to grab all of its Facts from either Wikipedia or Answers.com — it seems like it would have just been easier to read the Wikipedia article itself.


As for the Twitter integration, I found the results to be pretty poor for queries that weren’t about breaking news. The Arc de Triomphe example worked well for the Yahoo results, but the ‘facts’ from Twitter were useless, with non-sensical results like “The image is about 8×10″. But for queries related to breaking news it worked well. A search for “Leonid” (as in the meteor shower taking place this morning) showed very good results for both Twitter and Yahoo.


But the performance of this search engine isn’t especially important, because Factery isn’t setting out to be a search engine destination — at least, not yet. At this point the service is looking to offer its API to developers, which is where Factery’s real potential lies. One obvious use case is in Twitter clients. Any time someone shares a link on Twitter, there’s typically very little room for them to give it any context — oftentimes you’re left with a recommendation that you should check something out, with no idea if you’re really interested in the linked article. But if your Twitter client has Factery integrated, it can present a few bullets summarizing the article before you click it. One web client called Sobees already has it implemented, and the company says it is in talks with others. There are numerous other obvious uses for this on the web. For example, sites like Digg or Topsy could use this to do a better job describing linked articles to users.






Factery is making many of the same promises made by Powerset, the semantic search engine that was acquired by Microsoft in summer 2008. This is a tough problem, and at this point I’m not convinced Factery would garner much popularity as a standalone search engine for two reasons: for one, it isn’t consistent enough that I’d choose it over Google when I was in a bind. And two, the ‘fact engine’ idea is a big departure from the ‘link engines’ we’ve spent a decade using religiously, so it will take a while to get used to. That said, its future as an API looks bright, especially if it can land some of the bigger Twitter clients.


Popular posts from this blog

How to find ideas to post new article in your blog

How to find ideas to post new article in your blog    阅读原文»   It is true that sometimes being a blogger may face situations where I would personally like to call it your brain juices got dried up as you have pretty much ran out of topic to blog and you are in crisis as your readers are anxiously waiting for your new posts but you are unable to give in. That’s when you will probably come with excuses like I just posted last week although that post was more directly towards the newbies who stop themselves from making money but it’s still pretty much the same even though you consider yourself not a newbie. The fact is that ideas are everywhere and I mean everywhere if you know where to find it and know how to leverage it. You may be surprised that sometimes these ideas are just right in front of you but you are not observant enough to convert these ideas and turn it into your blog post. Today I will share some tips on where to get these ideas and most of it is part of your dai

Over A Year After Android Launch, ShopSavvy Finally Comes To The iPhone

ShopSavvy was one of the best early Android applications. It launched in October of last year after winning one of the initial Android Developer Challenge top prizes (when it was still known as GoCart). But despite the success it has seen on Android, one question remained: When would it be available for the iPhone. Today, it finally is. Developed by the guys at Big In Japan , ShopSavvy is an app that allows you to use your device as a portable barcode scanner. You point your phone's camera at any barcode and it will read it, do a product look up, and give you information about the product, as well as where you can find it online or at nearby stores and for how much. Obviously, something like this is a window shopper's dream. ShopSavvy was one of the best early Android applications. It launched in October of last year after winning one of the initial Android Developer Challenge top prizes (when it was still known as GoCart). But despite the success it has seen on Android, o

部门心脏?

i.am.weihua.1234您好!!              生产计划与物料控制PMC高级研修班 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 课程背景: 生产计划和物料控制(PMC)部门是一个企业"心脏", 掌握着企业生产及物料运作的总调度 和命脉,统筹营运资金、物流、信息等动脉,直接涉及影响生产部、生产工程部、采购、货仓、品 控部、开发与设计部、设备工程、人力资源及财务成本预算控制等,其制度和流程决定公司盈利成 败.因此PMC部门和相关管理层必须充分了解:物料计划、请购、物料调度、物料控制(收、发、退、 借、备料等)、生产计划与生产进度控制,并谙熟运用这门管理技术来解决问题,学习拉动计划价 值流(VSM)图,从拉动计划价值流切入剖析工厂制造成本和缩短制造周期 ,提高物流过程循环效 率(库存、资金的周转率)及客户满意率;为降低或消除物流过程中的非增值活动. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 课程目标: 1、建立制定完善的生产与物控运作体系?提升准时交货和降低库存成本 2、预测及制定合理的短、中、长期销售计划?达成公司策略管理目标 3、对自身的生产能力负荷预先进行详细分析并建立完善产品数据机制协助公司建立产品工程数据 4、生产前期做好完整的生产排程和周生产计划?提高备料准确率,保持生产顺畅 5、配合生产计划做到良好物料损耗控制和备料?完善降低物料损耗机制和停工待料工时 6、对生产进度及物料进度及时跟进和沟通协调?缩短生产周期,提高企业竞争力 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 报名详情: 培训时间:2012年11月 3- 4深圳 11月15-16上海 11月22-23北京 12月 1- 2广州 承办单位:新 活 力 顾 问 培训对象:生产计划部门、物料计划部门、采购部门、 生产部门、销售部门、物流、研发部门、 PIE、IT 培训费用:3200元/人(包括资料费、午餐及上下午茶点等) 报名热线:400-623-8399 (免长途话费) 电邮: maomao@xhlpx.com QQ:120915