Here’s another novel idea of mine, “Designing a Social Web Portal” that has made it to IP.com (intellectual property).
I have included below the full article in which the Web Portal is re-imagined by adding the social paradigm to a portal.
A large part of our lives is spent on the net. We browse the web for news, stock prices, technology tends, sports updates etc. To do this we typically go to our favorite web sites which are either news aggregators or news curators or we search the web for the required information. This article describes a completely new web browsing experience that is based on the social networking paradigm. This article describes a web portal where the content displayed is based on the browsing preferences of the user, the user’s friends circle, the user’s professional network and the world at large. So the Social Web Portal will display content that is based on the user own preferences, the collective browsing click streams of his/her social network, the user’s professional friends and the world at large. Such a web portal will give the user a snapshot of the kind of news articles that will be of great interest to
him/her. The inclusion of the social paradigm to web browsing provides the user a web browsing experience that is most closely tailored to the user’s taste.
Web portals like Lycos, Alta-vista, Yahoo, and Excite had their day in the sun early 1990’s. However all this changed with the entry of Google. It had a webpage with a single search bar. With a single stroke Google pushed all the portals to virtual oblivion.
It became obvious to the user that all information was just a “search away”. But much has changed since then. Many pages have been uploaded into the trillion servers that make up the internet. There is so much more information in the worldwide web. News articles, wikis, blogs, tweets, webinars, podcasts, photos, you tube content, social networks etc.
The internet now contains 8.11+ billion pages has more than 1.97 billion users, 266 million websites. We can expect the size to keep growing as the rate of information generation and our thirst for information keeps increasing.
In this world of exploding information the “humble search” will no longer be sufficient. As a user we would like to browse the web in a much more efficient, effective and personalized way. Neither will site aggregators like StumbleUpon, Digg, Reddit or sites which are news curators will be useful. We need to have a smart way to be able to navigate through this information deluge that is personalized to our tastes and to our social circle’s tastes.
We have now entered into an era of social networking where we keep contact with friends on social sites like Facebook, Google+ and with our professional network on LinkedIn and with the world at large on sites like Twitter and Pinterest. These social web sites deliver content based on our connections or our network.
The social web portal delivers content to the portal based on the user’s social network and the user’s social network’s browsing tendencies. It is in this context that it makes great sense to deliver a web portal experience that is based on the user’s personal, family, friend, professional and world browsing
Can a Web Portal render content to a single page with topics & news items based on the user’s social circle centered on the user?
The Social Web Portal discusses such a portal for the user which renders content dynamically based on the click stream of the user’s social network. The Social Web Portal will deliver content that has the user’s browsing preferences as the focal center while also displaying the browsing trends of the user’s family, the user’s close friends, the user’s professional colleagues and associates. Finally the portal would also include inputs from what the world at large is interested in and following. The web portal would analyze the key user’s preferences and then create a web portal based on its analysis of
what the user would like to see.
Social Web Portal – Fundamental concept and premise
The Social Web Portal is not a personalized home page in which RSS feeds or inputs from feed aggregators or site aggregators are taken. The Social Web Portal is common portal into which all users would log into similar to Facebook, Google+ or Twitter. All users can choose their friends, acquaintances, professional colleagues in this portal. Once users are registered the click stream history of the all the registered users are continuously updated by the Social Web Portal to a back-end database. Then based on each individual’s social circle the Social Web Portal will perform a statistical analysis of those URLs which were more relevant in the user’s social circle and display these URLs in the user’s page on the Social Web Portal. So when the user logs into the Social Web Portal the webpage will be personalized based on the user’s individual preferences and the collective browsing history of the user’s social circle (friends, colleagues,acquaintances etc).
The Social Web Portal does not take any feeds from existing social networking web sites like Facebook, Google+, Twitter or Youtube. It is independent of these sites. It does not aggregate the feeds from these sites nor does it depend on the social signals from these sites.
The Social Web Portal will generate ‘social signals” independently and completely based on the user’s social circle and the collective browsing history of the user’s social network.
Also the “Social Web Portal” is fundamentally different from link aggregators or a feed aggregators. As mentioned above the Social Web Portal will be based on a statistical analysis of the user network’s browsing history. So regardless of whether a user manually updates a Facebook/Google status, or a user submits a link to a link aggregating web site, the Social Web Portal will analyze the browsing history of the user’s social network and render the portal with the most browsed content.
The collective click stream of the user’s social circle will be analyzed statistically and the sites that have been most visited based on the user’s social circle will be displayed. Hence the user will be aware of the topics of interest of his/her social circle.
The major difference that the Social Web portal has with respect to link aggregators or feed aggregators mentioned above is that the Social Web Portal does not rely on either links submitted by the user’s social circle nor does it depend on the status updates of the user’s network.
The Web page rendered by the Social Web Portal will be based on a statistical ranking of the browsing history of the user’s social circle and also on the relative importance of the friends in the user’s social circle.
The Social Web Portal is based on the collective click stream activity of a user’s family, friends, professional circle and the world at large. This web portal will required to be signed on like any of the social network sites like FB, Google+ or Twitter. The web portal will have a window on the top right corner where the user can send invites, connection requests to his family members, friends and his professional colleagues. The click streams of all those who accept the user’s invite will be used to provide the web browsing experience for the user.
The user can also assign a degree of importance to each of his associations. So while a typical social network site like FB, Google+ or Twitter will provide the status updates of the connections of the user to the user’s updates and include the user’s updates in the connection’s updates, the Social Web Portal will keep track of the click streams of the all the users who have signed into the Social Web Portal. The browsing history of all the users who are registered in the Social Web Portal will be sent to a back-end database for subsequent processing and displaying in the appropriate social circle. Hence as the registered users travel from site to site their browsing history is captured and sent to the back-end database. The click stream history of all the registered users will be continuously updated to a back-end database. It will then render content to each of the individuals in the Social Web Portal
based on the network of that particular user.
The back-end database will be a repository of the browsing click streams of all the users who have signed up for the Social Web Portal. The browsing history of all registered users will be captured and sent to a back-end database, probably using cookies, on a regular basis. These cookies will be analyzed statistically by an application layer over the database which will then display content to a user based on the browsing history of the user’s social circle. Each association in the social circle will be ranked based on a degree of importance assigned by the user.
When a user opens the Social Web Portal the portal will query the back-end database based on the social network that the user has and the degree of importance that the user has for each of his/her connections.
The query will return the overall browsing preferences that are based on the user’s network i.e. the Social Web Portal will render the web page with the aggregate, collective web browsing tendencies of the user’s family, friends, colleagues and friends besides including the user’s own tastes and browsing preferences. So every user will be aware of the common trends and popular items in his/her social circle along with the trending topics in the world at large.
This can be represented in the diagram below
Fig 1. Dynamic Window in the Social Web Portal
The rectangle shown in the above window is something that can be tuned by each user for his/ her individual taste. The user can specify how much of the browsing tendencies of friends, family and colleagues he or she would like to include in the Social Web Portal. Based on the user’s taste the content that will be displayed on the user’s Social Web Portal will have appropriate content of the user’s family, friend, colleagues and World
The Social Web Portal for a user can be visualized to be represented as shown below
Fig 2. Snapshot of what each user would see when he logs into the Social Web Portal
As can be seen this Web page will be customized to the user. It will display all the relevant news items and articles of interest for the user. Any user will also be interested to see what people in his/her particular domain are reading. For e.g. a person in finance would like to see specific topics in finance while also being interested in the other relevant news items that he may have missed but may have been read by his/her friends or colleagues.
In other words each user will get a snapshot of information. This information will be tailored to the user based on the individual’s personal preferences, the trending topics in among his family, friends, colleagues, acquaintances and the world at large. So every user will be fully abreast of the popular topics issues in the world without having to individually browse sites. The above figure shows how this snapshot would look for each user.
People also typically like to see if they are up to date with the world on topics. The Social Web Portal will ensure that popular articles automatically bubble up to each and every user.
A diagrammatic representation of the Social Web Portal in action can be represented as below
Fig 3. Browsing history maintained in a back-end database and displayed for each user.
In the above figure the click streams of the network of all the users of the Social Web Portal are collected in the distributed database. When a user logs into his Social Web Portal the query will return the overall browsing trends of the user’s family, friends, professional colleagues and the world. Those news items that are popular will be bubbled up to the user along with his or her own preferences. Hence the user will feel connected to his/her network and will have a novel browsing experience.
A diagrammatic representation of the Social Web Portal is shown below
Fig 4. A schematic of how the personalization happens in the Social Web Portal
In Fig 4 it can be seen that the bottom most layer contains the collective browsing history of all the registered users as they browse different web sites. This click stream will be updated at regular intervals. This browsing history is analyzed statistically to determine the most relevant and popular sites for each user’s social network and then ranked on the degree of importance of each individual in the social circle.
Fig 5. Flow chart for the Social Web Portal
Hence the Social Web Portal will broadly perform the following activities
- The collective browsing history of all registered users of the Social Web Portal will be sent for analysis to a back-end database
- The Social Web Portal will render content based on the statistical analysis of the collective click stream activity of a user’s family, friends, professional circle and the world at large
- The Social Web Portal will render content dynamically based on the statistical ranking of browsing history of user’s social circle
- A user can configure the order of importance to each of the people in his/her social circle. The Social Web Portal the portal will query the back-end database based on the relative importance of each of the acquaintance of the user and also the statistical weight of “visited sites”
- The Social Web Portal will render the web page with the “most visited sites” based on the aggregate, collective web browsing tendencies of the user’s family, friends, colleagues and friends besides including the user’s own tastes and browsing preferences.
The Social Web Portal will usher in a completely new Web browsing experience. Adding the social paradigm to a user’s browsing experience can have multiple benefits. It will allow each user to know what new articles or items are popular among his or her network. A person can keep abreast of all the trends that are of interest to him/her. The Social Web Portal will be novel experience that will be completely tailored to each and every user.
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