The example for the post I was writing for today appears to have been hijacked by the Simpsons. They made an apology to Judas Priest, after referring to the band as a death metal band. The image below is from a Guardian news article on the apology which is presently highly ranked on a search for the word “Judas”. See the search results below:
I wanted to show a set of search results from Google that may have been based upon Google matching the topic of a post rather than keywords, which might help improve the relevance of search results for videos and media rich results, according to a Google patent granted on the last day of 2013, which uses that example.
News came out in a Google Press release yesterday, Google to Acquire Nest, that Google had purchased Nest, a company focused on connecting things found in your home to the internet, including the Nest Learning Thermostat, and recently released Protect, a Smoke + CO Alarm.
It’s exciting to see Google venturing out into business lines such as the control and security of house hold items such as alarms and thermostats and lighting and media controls. What does it mean for search and knowledge collection? I don’t think it signals any less interest in running a search engine, but it does show off a growing interest in selling internet related hardware, which is an area of experience that Google has been lacking in, though with devices such as Chromecast and Google Glass, may be really useful in the future.
There’s a lot of press and blog posts circulating around the Web about Google’s multi-billion dollar purchase of Nest, including some speculation that it gives Google a legitimate stance as a seller of hardware.
When we talk about how web sites are related, it’s not unusual for us to talk about links between sites and pages. Google pays a lot of attention between such links, and they are at the heart of one of its most well known ranking signal – PageRank. PageRank is now more than 15 years old, predating the origin of Google itself in the BackRub search engine.
Google is exploring other signals that may be used to rank pages in search results, including social signals that may result in reputation scores for authors, in relationships between words that might appear together on pages ranking for the same queries, and in relationships between pages that show up in the same search results and in the same search sessions. The Google paper presented at an October 2013 natural language processing conference, Open-Domain Fine-Grained Class Extraction from Web Search Queries (pdf), provides some interesting hints at a possible Google of the future.
Google also seems to be very interested in building a knowledge base of concepts that better understands things like what different businesses or entities are ‘Known for’ or by defining entities better in ‘is a’ relationships. Sometimes pages for specific entities show up at the top of search results because they seem to be the page that people are looking for when they include that entity within a query, like the first two results on a search for [Roald Dahl], as seen in the image below: