Data Mining -team curated. Behavioral targeting. Behavioral Targeting refers to a range of technologies and techniques used by online website publishers and advertisers which allows them to increase the effectiveness of their campaigns by capturing data generated by website and landing page visitors. When it is done without the knowledge of users, it may be considered a breach of browser security and illegal by many countries' privacy, data protection and consumer protection laws. When a consumer visits a web site, the pages they visit, the amount of time they view each page, the links they click on, the searches they make and the things that they interact with, allow sites to collect that data, and other factors, create a 'profile' that links to that visitor's web browser.
As a result, site publishers can use this data to create defined audience segments based upon visitors that have similar profiles. Onsite Behavioral Targeting[edit] Network Behavioral Targeting[edit] Theoretical Research on Behavioral Targeting[edit] Case law[edit] Online Behavioral Tracking. Behavioral Targeting. Issue Behavioral targeting provides advertising to Internet users based on Web surfing habits. This ability has enormous benefits to both advertisers and consumers, but has received a fair amount of attention from state and federal legislators because of perceived threats to consumer privacy. Proposed bills in Congress and state legislatures would require that consumers receive notice of behavioral tracking and mandate data deletion and the ability to opt-out of all tracking.
Additionally, the Federal Trade Commission has proposed a set of self-regulation guidelines for companies who use behavioral advertising. AAF Position The AAF believes the government should show a real or potential harm before adopting regulations concerning behavioral targeting. Proposals designed to limit access to new technology fail to strike an appropriate balance between restrictions on the use of the information and the benefits to consumers through the use of that information. » Your iPhone Is Tracking You. It turns out the iPhone may be a little sneakier than you thought. According to security researchers, the phone keeps track of everywhere you go, and it then saves the information in a file on the iPhone and on the owner’s computer when the two are synced.
This story was first reported by The Guardian (read the original story by clicking here), and it is now sweeping through across the Internet. In the story, the researchers claim the data files stored by the phone record the device’s latitude and longitude along with a timestamp. They also say the recording seems to have begun with Apple’s iOS 4 update, which was released in June 2010. Many people are upset, claiming this is a huge breach in security, and I have to agree. I wasn’t even that surprised to find out my iPhone is likely storing all my location information. What Do Behavioral Targeters Know About You?: Tech News and Analysis «
While relevant advertising is the only kind that’s useful, it’s creepy to see behavioral ads following you around the web, advertising that trip to Hawaii you’d researched last week when you’re just trying to read the news. But perhaps it would be a lot less creepy if you knew when and where you were sharing your data, and when and why you’re being targeted by ads. To that end, you can find out exactly what cookies BlueKai — which says it’s the largest U.S. behavioral data provider, and just raised a third round of $21 million while kicking off its third year of existence — has on you. Head over to BlueKai’s registry and you can see, item by item, recent categories you’ve been slotted into based on your browsing history. Here’s what Bluekai says it knows about me: * Some information about my job that’s not terrifically accurate — I’m in information technology (true) and hospitality (false), I’m at a company with 100+ employees (false). * My gender, age range and geographic area.
Privacy Lawsuits Increase in 2010 Due to Online Behavioral Tracking | news | press-room. Privacy Lawsuits Increase in 2010 Due to Online Behavioral Tracking Boca Raton, Fla. – January 25, 2011 – According to the Information Law Group, which concentrates on legal issues around privacy, data security, information technology and e-commerce, 2010 was a banner year for privacy-related lawsuits. And it may just be the tip of an iceberg of litigation to come. The Information Law Group report indicates that “There has been a significant increase in the volume of privacy lawsuits recently filed and being litigated … in addition to significant settlements on the books,” and adds that “most of the lawsuits cited involve online behavioral tracking.” Given our collective dependence on the Internet to conduct business of all kinds, and the unprecedented profit potential associated with capturing and using all of that online data, is there anything that can be done to thwart the behavioral trackers?
About SECNAP. : Behavioral Advertising : Legal Bytes. The Adword Lawsuit Now D (Defendant) buys competitor's words from a search engine, you see. What words do they buy? Just brands that are popular - with you and with me. They buy words I might search for when I am looking for thee. Now P gets really mad, call the lawyers, they do, P's marketers scream loudly, "Go sue, yes, let's sue.
" But wait just a moment, says the court to party P, In order to win, two things prove for me, Did D "use the mark in commerce" for all the world to see And can you prove that buyers, from deception and confusion are free? Well maybe I can and maybe I can't, says P not quite funny. Not so, sayeth the court and much to Plaintiff's fright. The English Translation Consider the case of Network Automation, Inc. v. In order to prevail, traditional trademark law says Advanced Systems must show that the mark was "used in commerce" and that consumers of these competitive products are likely to be confused.
But wait a minute. Data dredging. Data dredging (data fishing, data snooping, equation fitting) is the use of data mining to uncover relationships in data. The process of data mining involves automatically testing huge numbers of hypotheses about a single data set by exhaustively searching for combinations of variables that might show a correlation. Conventional tests of statistical significance are based on the probability that an observation arose by chance, and necessarily accept some risk of mistaken test results, called the significance. When large numbers of tests are performed, some produce false results, hence 5% of randomly chosen hypotheses turn out to be significant at the 5% level, 1% turn out to be significant at the 1% significance level, and so on, by chance alone. When enough hypotheses are tested, it is virtually certain that some falsely appear statistically significant, since almost every data set with any degree of randomness is likely to contain some spurious correlations.
Here is a simple example. Do Not Track Me! Stop Online Ad Tracking | myID Blog. Cookies are small bits of information that websites store on your computer to track the places you have visited on the Web. They help sites create advertisements targeted for a specific customer, which ad network tracking specialists say increases the effectiveness of the advertisements. Have you ever noticed an Internet advertisement for a product you just searched for? The reason the advertisers knew your preferences was because of ad tracking. Avoiding being tracked by cookies, while still maintaining Web usability, is the Holy Grail for Web users. There are a few steps you can take to avoid ad tracking. Next, do some deep cleaning with tracking cookie removal. To remove tracking cookies in Internet Explorer, Open Internet Options by clicking the Start button, clicking Control Panel, clicking Network and Internet, and then clicking Internet Options.
To remove tracking cookies in Firefox, click on the Tools menu and select Clear Recent History. Tagged as: ad tracking. Add 'do not track' to Firefox, IE, Google Chrome | Workers' Edge. Affiliate marketing. Type of performance-based marketing Affiliate marketing may overlap with other Internet marketing methods, including organic search engine optimization (SEO), paid search engine marketing (PPC – Pay Per Click), e-mail marketing, content marketing, and display advertising. [citation needed] Affiliate marketing is frequently overlooked by advertisers.[6] While search engines, e-mail, and web site syndication capture much of the attention of online retailers, affiliate marketing carries a much lower profile.
Still, affiliates continue to play a significant role in e-retailers' marketing strategies. [citation needed] History Origin The concept of affiliate marketing on the Internet was conceived of, put into practice and patented by William J. In November 1994, CDNow launched its BuyWeb program. Amazon.com (Amazon) launched its associate program in July 1996: Amazon associates could place banner or text links on their site for individual books, or link directly to the Amazon home page.[13] Web 2.0. Matthijs R. Koot's notebook: 1 Database Containing 35.000.000 Google Profiles. Implications?
Ghostery. Redpoint Ventures. Redpoint Ventures is a venture capital firm focused on investments in early stage technology companies. The firm's partners include Allen Beasley, Jeff Brody, Satish Dharmaraj, Tom Dyal, Tim Haley, Brad Jones, Nety Krishna, Chris Moore, Lars Pedersen, Scott Raney, John Walecka, Geoff Yang, Marjorie Yang, David Yuan and Vivian Yuan. The founders of Redpoint Ventures have been involved with successful investments including Foundry, Juniper Networks, 9flats, Netflix and Right Media.[1] History[edit] The firm was founded in 1999 and is headquartered in Menlo Park, with offices in Los Angeles and Shanghai.
The firm manages $2.4 billion of capital and invests across early and early-growth stages. Current Investments[edit] 2012 investments include Goko[7] and Open English.[8] References[edit] External links[edit] Redpoint Ventures (company website)
Information Awareness Office. Total Information Awareness (TIA) was a program of the US Information Awareness Office. It was operated from February until May 2003, before being renamed as the Terrorism Information Awareness Program.[4][5] Based on the concept of predictive policing, TIA aimed to gather detailed information about individuals in order to anticipate and prevent crimes before they are committed.[6] As part of efforts to win the War on Terror, the program searched for all sorts of personal information in the hunt for terrorists around the globe.[7] According to Senator Ron Wyden (D-Ore.), TIA was the "biggest surveillance program in the history of the United States".[8] The program was suspended in late 2003 by the United States Congress after media reports criticized the government for attempting to establish "Total Information Awareness" over all citizens.[9][10][11] History[edit] Early developments[edit] Congressional restrictions[edit] Mission[edit] 1. 2. 3. 4.
Scope of surveillance[edit] Criticism[edit] Advertising - Firms Track and Sell Data on All Your Web Clicks. The Web’s New Gold Mine: Your Secrets | Command the Raven. The news behind the news. A Journal investigation finds that one of the fastest-growing businesses on the Internet is the business of spying on consumers. First in a series. By Julia Angwin Hidden inside Ashley Hayes-Beaty's computer, a tiny file helps gather personal details about her, all to be put up for sale for a tenth of a penny. The file consists of a single code— 4c812db292272995e5416a323e79bd37—that secretly identifies her as a 26-year-old female in Nashville, Tenn. The code knows that her favorite movies include "The Princess Brid e," "50 First Dates" and "10 Things I Hate About You.
" "Well, I like to think I have some mystery left to me, but apparently not! " Ms. "We can segment it all the way down to one person," says Eric Porres, Lotame's chief marketing officer. One of the fastest-growing businesses on the Internet, a Wall Street Journal investigation has found, is the business of spying on Internet users. • Tracking technology is getting smarter and more intrusive. The data on Ms. Tracking isn't new. ADVISE. ADVISE (Analysis, Dissemination, Visualization, Insight, and Semantic Enhancement) is a research and development program within the United States Department of Homeland Security Threat and Vulnerability Testing and Assessment (TVTA) portfolio.
It is reported to be developing a massive data mining system, which would collect and analyze data on everyone in the United States and perform a "threat analysis" of them.[1] The data can be everything from financial records, phone records, emails, blog entries, website searches, and any other electronic information that can be put into a computer system.[2] The information is then analyzed, and used to monitor social threats such as community-forming, terrorism, political organizing, or crime.[3] See also[edit] References[edit] External links[edit] NY Times on Online Data Collection and Sharing. Speaking of the need to better educate consumers about digital privacy concerns, today’s New York Times features two articles that shed light on two widespread online data collection practices. The article “Online Age Quiz Is a Window for Drug Makers” notes that RealAge, a popular online quiz meant to determine ones “real age” based how well you treat your body, makes its money by supplying the data, in various forms, to pharmaceutical companies.
According to the Times: Pharmaceutical companies pay RealAge to compile test results of RealAge members and send them marketing messages by e-mail. The drug companies can even use RealAge answers to find people who show symptoms of a disease — and begin sending them messages about it even before the people have received a diagnosis from their doctors. …RealAge allows drug companies to send e-mail messages based on those test results. The two companies profiled in the article, however, are attempting to address user privacy concerns: Named entity recognition. Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.
Most research on NER systems has been structured as taking an unannotated block of text, such as this one: Jim bought 300 shares of Acme Corp. in 2006. And producing an annotated block of text that highlights the names of entities: [Jim]Person bought 300 shares of [Acme Corp.]Organization in [2006]Time. In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified. State-of-the-art NER systems for English produce near-human performance. Problem definition[edit] Certain hierarchies of named entity types have been proposed in the literature. Formal evaluation[edit] Information extraction. Web scraping. Screen-scraper Introduction -- Data Extraction & Page Scraping.