Much like social feeds and personalized search results, YouTube will be incorporating machine learning into the algorithm to base recommendations off of the interactions users are making with channels and videos.
Indeed, for a machine to comprehend the meaning behind what a human has put to text, requires a certain amount of artificial intelligence. It demands that a machine, or more accurately, the software that drives that machine, must understand the...
Be ready for when it does, so start your first machine learning class today in Stanford machine learning 101. Further personalization based on my friend lists is even impossible without elaborate machine learning capabilities.
Google uses machine learning to build up a picture of what a profile should look like within each genre/niche and uses that to test sites against on the fly. Businesses have folded and lives have been changed irrevocably – and all because of the...
Even though this particular post is better than the average machine-generated content, it doesn’t pass human review. Consider that Google implemented some simple algorithm that flagged a bunch of sites for human examination.
You can find all sorts of human and machine spun content still warm and cozy in Google’s database today, leading many to believe Panda was really more about duplicate content (still) than anything else.
While it’s impossible to explain in one short article how machine learning influences our lives, understanding the basics of machine learning can give you some insight into search algorithm updates, such as Google’s Panda update.
Because we knew Panda was a machine learning algorithm, we expected there to be many separate patterns and thresholds for various types of content spam. In a previous article I gave an introduction to algorithm testing.
Link spam can be detected in many ways besides the SpamRank-type algorithms: applying machine learning to link-based features, the analysis of page content, TrustRank, and Anti-TrustRank, and statistical analysis of various page features.
For example, Battelle's online concept -- "database of intentions" -- informs our understanding of language translation and machine learning. Machine translation hasn't ignored context. Machine translation must guess at the database of intentions...
Microsoft looks to anchor text to help train a machine learning classification system when user behavior data isn't available. Ranking Algorithm Too Dependent On Trust Factors? There's an interesting presentation on it provided by the Educause...
The strong showing from the two companies is joined by a Yahoo patent on pay-for-placement bidding, a Doubleclick patent on media ads, a patent application from Harris Corporation on reranking results based upon vocabulary words, patent...
I'm delighted that Danny has developed a new session for SES New York (Search Algorithm Research & Developments) which zooms in on the various topics of genetic algorithms, machine learning, network theory, vector space model and underlying...
Any search merely caused the home page to reload, and after about 10 minutes of clicking around, my system resources dropped to nil, forcing me to restart my machine. In June, Lycos introduced Lycos Pro, a completely separate search engine using...
Any search merely caused the home page to reload, and after about 10 minutes of clicking around, my system resources dropped to nil, forcing me to restart my machine. In June, Lycos introduced Lycos Pro, a completely separate search engine using...
Any search merely caused the home page to reload, and after about 10 minutes of clicking around, my system resources dropped to nil, forcing me to restart my machine. In June, Lycos introduced Lycos Pro, a completely separate search engine using...
Any search merely caused the home page to reload, and after about 10 minutes of clicking around, my system resources dropped to nil, forcing me to restart my machine. In June, Lycos introduced Lycos Pro, a completely separate search engine using...
