Google Upgrades its Architecture and Interaction Models {Comments Off on Google Upgrades its Architecture and Interaction Models}

by Yeimy F
Google’s web robot, which is a program that collects information from the web and builds an index for the search engine, has been upgraded and it is now capable of indexing AJAX and JavaScript content from web sites such as Facebook. This means that “Facebook comments are now open to being searched” by the top search engine in the United States. read more...

Facebook’s Push for New Kind of Ad {Comments Off on Facebook’s Push for New Kind of Ad}

by ChihWei H

In addition to “like” button and fan “page”, Facebook is pushing out a new service called “People talking about this” for advertiser to measure how fan interact with a brand’s fan page.This metric gather everything from people’s “like”, comments, to photo tags and so on. This is Facebook’s latest effort to attract advertisers to pay for their premium service other than banner ad and clicks. According to recent estimates, the chance of people click on ad on social networking sites are extremely low, which explain why Facebook is pushing this new “engagement” kind of ad rather than traditional pay per click. However, many advertisers ain’t convinced engagement  is worth more than clicks because it is harder to measure its effectiveness. read more...

Everpix let’s you see and organize your pics from anywhere {Comments Off on Everpix let’s you see and organize your pics from anywhere}

by Asbed P
Everpix is a small utility that allows you to connect to all your pictures, all at the same time.  This means that it syncs all your pictures from Facebook, Flickr, Picasa, Instagram, Gmail, and any photos from your computer all on its own cloud based website.  The app was created by Pierre-Olivier Latour and Kevin Quennesson, who are both former Apple employees who worked at Apple for over two years.  This is also a reasonable answer as to why Mac users will be getting this app first.  To get started you install a small utility that will begin to sync all the pictures you have on your computer. By clicking on the Icon in the menu bar, it sends you to their website that will allow you to decide which services you want to connect to, as well as specify which folders you want to sync up online when the app starts.  By default the pictures uploaded by the app will remain private unless you decide to share them will someone or decide to make it public in its entirety. Although all this sounds great, the syncing with Gmail pictures isn’t too great.  It asks you for your username and password instead of using OAuth to connect and sync images. read more...

Google and It’s Infamous Antics {2}

by Andrew N

Google and It’s Infamous Antics

Google has attempted to answer back to the world of SEO with its +1’s and Google+. Not only is Google keeping up with the times, it is also competing against Facebook’s Likes button. Google has had such success since it released such function in March that companies are targeting Google and using the +1 function to their advantage, but in a way that is conflicting with Google’s policies. Google’s +1 function started off initially within Google only, but has now expanded to the entire web. This is done, so that they can compete against others because  true ranking is key for search engine optimization. Google+ has also been a competing factor against Facebook, but is still in its infancy stage and invitations are need to join the social network. read more...

Social Network Face Book and Its Data Warehouse {Comments Off on Social Network Face Book and Its Data Warehouse}

by Tuyen H

         This article talks about MapReduce (MR) platform with parallel data access. MapReduce is introduced by Google in 2004 for supporting multiple accesses of data. It has been written in many languages such as C++, C#, Java, and even PHP. Famous Social Network Face Book built its massive data warehouse by using the MapReduce technology. The authors also compare the MapReduce technology with database management system (DBMS) “MapReduce complements DBMSs since databases are not designed for extract transform- load tasks, a MapReduce specialty.” Indeed, the combination of MR and DBMS create a powerful of database system. This combination allows big companies to build their database warehouse where they store a lot of information. For example, Face Book store more than 800 million users’ data and information. Google’s data warehouse stores more than 850 TB for supporting user searching. Finally, the authors mention that those technologies are not competition but complementary. 
        This article mentions data warehouse and database technologies such as MapReduce (MR) and database management system (DBMS). Those technologies are really helpful because they allow people to build massive data warehouses. For instance, Google’s data warehouse like a world library; it support business and study around the world. It also likes the world knowledge. In my work place, every time we have questions we “ask” Google. In school, when I research I also “ask’ Google.
        As you know the Jasmine Revolution happened with support of social network like Face Book and Twister. If there are not any database technologies such as MR and DBMS, there is not Face Book or Twister. Therefore, the Jasmine Revolution will not happen.  Data warehouse also use to store much important information that supports government, organization, and education. Imagine that, if the government does not have the database, how can it work? The IRS cannot collect tax. The DMV cannot manage vehicles and so on. I think data warehouse is really helpful, and both RM and DBMS are revolution of the database technology. read more...

Data Mining in Social Media {1}

by Joe C

This article talks about data mining in social media, in which companies such as Facebook or Twitter are able to gather data from their users through the information, posts, and other activities the users provide. This type of information gathering is emerging to become a great source of information on upcoming trends and opportunities, however the data has to be harvested and analyzed correctly. While there is a great deal of information, the amount of useful/relevant information compared to irrelevant noise is as little as 20%. Being this way, these companies have to utilize highly advanced artificial intelligence to sift through the noise and retrieve only the useful information. As technology advances, these AI systems are able to perform tasks such as match newly created profiles to old preexisting users in the database to form a more complete profile of a possible customer. This is very useful as it acts like a real-time automatically updating CRM system. read more...