Posts By: jiyanwei

Google’s Anatomy

by jiyanwei • September 20, 2012

This was originally published on Search Engine Watch (September 2012) In what has become a meme, CEO Larry Page referred to Google+ as the company’s “social spine” in an earnings call earlier this year. As Page explains, the role of Google+ is to connect a host of products across Google’s platform. The “social spine” metaphor […]


Getting started with semantic SEO

by jiyanwei • August 21, 2012

Originally published in Search Engine Watch (August 2012)  When search engines begin making fundamental platform changes, a somewhat consistent causal chain ensues: The first phase: This is normally marked by experimentation and discourse as innovators and professionals with vested interest dabble in the space and discuss their findings (in places like Search Engine Watch). The […]


Semantic search

by jiyanwei • July 17, 2012

Originally published in Search Engine Watch (July 2012) Earlier this year, the Wall Street Journal shed light on Google’s plans to add depth to the search experience –foreshadowing the arrival of the Knowledge Graph. According to Amit Singhal, a top Google search executive, the goal is to make the search experience comparable to, “how humans […]


Google, Big Data & what it means for SEO

by jiyanwei • May 8, 2012

Originally published on Search Engine Watch (May 2012) In Google’s recent earnings call, the question was posed, “If you think of the future of Internet search 3 or 4 years out, how important will the social signal be and how important (will) personalization be?” CEO Larry Page responded by explaining how he might search for […]


Is Big Data a fad, or something legit?

by jiyanwei • May 8, 2012

Originally published on Gigaom (May 2012) “The field of [big data] draws on findings from statistics, databases, and artificial intelligence to construct tools that let users gain insight from massive data sets.” – Michael Pazzani, Intelligent Systems Pazzani’s quote was originally published in February 1999 and did not reference big data; it referenced knowledge discovery […]