3 ms·
How We Derive Context from Big Data
- jph 11y agoCalculating context on mobile is a huge win for content providers, who can use the context to create deep links into other apps. Example: I'm reading an article about James Bond, and ideally the phone can calculate that there's a new Bond movie, and I'm near a theater, and I'm free on Thursday night, and then create a link to buy tickets.
- jisaacso 11y agoGreat example! This is the exact problem URX is solving: empowering content providers to present their products within meaningful contexts.
- timClicks 11y agoWell done for the engineering feat here. Parsing Wikipedia at scale isn't easy. Very surprised that they don't mention DBpedia though (http://wiki.dbpedia.org/ http://wiki.dbpedia.org/) or discuss how they navigate through some big NLP challenges with Wikipedia, namely that many edits are made by bots.
- jisaacso 11y agoDBpedia is a great, structured representation of Wikipedia. Agreed, there are many challenges, NLP being one. I think you'll like our other blog posts http://blog.urx.com/urx-blog/2015/7/28/named-entity-recognition-examining-the-stanford-ner-tagger?rq=ner http://blog.urx.com/urx-blog/2015/7/28/named-entity-recognit...