Personalization

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Personalization by Mind Map: Personalization

1. Kinds

1.1. News

1.2. Advertisements

1.3. Products

2. Technologies

2.1. Cookies

2.2. Algorithms

2.2.1. search algorithms

2.2.1.1. signals

2.2.1.2. PageRank

2.2.2. prediction engines

2.3. Behavior market

3. Companies

3.1. Media companies & sites

3.1.1. Netflix

3.1.2. Yahoo News

3.1.3. YouTube

3.1.4. News.me

3.2. Search engines

3.2.1. Google

3.2.1.1. People

3.2.1.1.1. Eric Schmidt

3.2.1.1.2. John McPhie

3.2.2. Yahoo

3.2.2.1. People

3.2.2.1.1. Tapan Bhat

3.3. Social sites

3.3.1. Facebook

3.3.1.1. News Feed

3.3.1.2. People

3.3.1.2.1. Mark Zuckerberg

3.3.1.2.2. Sheryl Sandberg

3.3.2. OkCupid

3.3.3. Yelp

3.4. E-commerce

3.4.1. Apple

3.4.1.1. iTunes

3.4.1.1.1. Genius

3.5. Marketing and Advertising

3.5.1. BlueKai

3.5.2. Axciom

4. Effects

4.1. Like a camera lens (Ryan Calo)

4.2. Unbalanced info diet (danah boyd)

4.2.1. hides complex or unpleasant issues

4.3. Invisible autopropaganda

4.4. Loss of serendipity

4.5. Informational determinism

4.6. Sense of public is diminished

4.6.1. Robert Putnam--Bowling Alone

4.6.1.1. social capital

4.6.1.1.1. Bonding capital

4.6.1.1.2. Bridging capital

4.7. Unintended, negative uses of your data

4.7.1. insurance company & your premiums

4.7.1.1. Jonathan Zittrain

4.7.2. sale or exchange of data about your children

4.8. Loss of transparency

5. Why

5.1. Information overload

5.2. Attention crash (Steve Rubel)

6. Organizations

6.1. Electronic Frontier Foundation

6.2. MoveOn.org