Posts Tagged ‘Community’

Proposal Using Collaborative Filtering to Create a Win-Win-Win Situation and Engage People With UBS Has Been Awarded

January 24th, 2010

Amancio Bouza with the golden brain trophy

Amancio Bouza holding the golden brain trophy for his proposal using collaborative filtering to create a win-win-win, build trust for clients and engage clients with UBS

The Swiss banc UBS, one of the leading players in the global financial market, announced a contest on how Web 2.0 may help the UBS.
In particular UBS was looking for Web 2.0 concepts between 5 and 10 pages focusing on UBS client facing applications such as mobile or E-banking. In the contest description, the UBS described their daily business and main targets such as young urban people that participate already in the world Web 2.0 such as Facebook and Wikipedia, etc. . The participant were requested to hand in a proposal of how Web 2.0 can be applied to the UBS and provide explicit implementation details.

From my experience of the people interacting with the Web 2.0, I built the following user model:

  • like to share experiences and generate feedback
  • like to generate content and to contribute
  • want to be part of something bigger
  • trust other users more then experts based on the Wisdom of Crowds assumption
  • are intrinsic motivated
  • are connected everywhere and every time
  • do not honor guided help of experts or systems
  • want do discover and explore

Based on this user model, I described the challenges of client advisory in general, showed how collaborative filtering meets the user model of the Web 2.0 and how collaborative filtering faces these challenges to build trust between client and adviser, empower the client to explore new possibilities, create adequate personalized product and service bundles, etc. . In additon, I proposed an framework that extends the current advisory process with collaborative filtering.

Finally, my proposal on “Collaborative Filtering – A Driver to Enable Clients to Explore, Share Experience and Build Recommendations for Products & Services” has been announced by the UBS jury as one of the three winners.
Congratulations to the additional two winners:

In addition, it has been awarded with the golden brain trophy from Starmind, a platform where expert knowledge and solutions to specific problem are traded. My proposal has been evaluated by the UBS jury as “creates a win-win-win and trust for clients and engages client with UBS”.

Further information can be read on:

The contest has been announced on the 12th Web monday event in Zurich
On of the other winner published his proposal on “Go beyond ebanking of today

Downloads

spotting – Social Network-based Location Recommender System

October 29th, 2009

User interface of the spotting location recommender system

User interface of the spotting location recommender system

Several weeks ago, my student Reto Hodel who I’m supervising currently published a really cool and easy-to-use Web application that lets you find new potentially interesting locations such as bars, restaurants or clubs based on their social relationships within the Facebook community. In other words, your recommendations are generated depending on your friends, your different participating n-cliques, your explicit and implicit trusted trendsetters and other social network analysis based metrics. This Social Network-based location recommender system is called spotting.

In this master thesis, he built a Web applications that uses the people’s Social Network at Facebook to generate the location recommendations. Based on the data gathered by the Web application we analyze what SNA metrics are suitable for generating such recommendations. We are still investigating this research questions. As soon we get som e more insights we plan to add them to the Web application such that people can benefit from better recommendations.

If you are interest in having a look into the Web application then please just check out the following link:
http://seal.ifi.uzh.ch/spotting

You may want to join the spotting group at Facebook. So far, we only provide locations from Zurich.

My first Bachelor student finished his thesis about “Purple Leaf – Evaluation of the Adoption of New Features in a Web-Based Social Network”

January 4th, 2009

Visitors of Purple Leaf parties. People in the center visited quite all parties. The outliers generally only visited few ones.

Participants resp. party people on the various partys


Together with Marc Vontobel’s main advisor Gerald Reif, I successfully advised and supported Marc with his bachelor thesis. He was my first student I advised at all. He reenginered Purple Leaf – a party portal – and investigated the impact of social relations among people with respect to acceptance rate of new features on a web page. At the time he finished with his thesis, the community of Purple Leaf consisted of several thousands of people.
It seems that one rather accepts and adopts a new feature when a friend already adopted it. It seems that the inhibition threshold is much lower due to the fact, that people trust their friends and thus, trust the feature and it added value. Marc did a great job that could not be expected from a Bachelor student, starting from the software engineering skills to the data gathering and complex Social Network Analysis (SNA). But he was already prepared from our precedent seminar on “Trust and Recommendation in Social Networks”.

We were surprised as he delivered not only his thesis but also a complete picture book with fantastic analysis of differenc aspects of his party community. He discovered the core group of party people being on most parties, the latent semantics among different music styles and drinks.

Abstract

Purple Leaf is a social network which offers its member several possibilities to personalize its exclusive events by providing them unique online services. After the size of our platform suddenly increased from 300 initially invited guests to a multiple, we were obliged to completely revise the platform and enlarge our range of services. To embed these new services smoothly into the existing web presence, we fully restructured the application and changed the basis to a modern web framework. After that makeover, we designed five other services which we targeted to increase the customer loyalty and the entertainment value of our platform. Because new features are often not instantly accepted by existing users, we developed an integrated concept for boosting the acceptance of novel functionality. This concept is based on the technology acceptance model which was developed by Davis (1986). The model postulates that the actual use of a new feature is solely based on external factors. On the one hand, there are factors which influence the ‘perceived ease-of-use’ and on the other hand some that have impact on the ‘perceived usefulness’. In order to foster the perceived ease-of-use, we developed several usability concepts and tried to figure out how Web 2.0 features can help to simplify different processes. Beside the creation of intuitive user interfaces and plain procedures, we worked on an elaborated data and application structure which itself also contributed a big part to the simplicity of the new functionality. After we had embedded the services into our Internet portal, we started to analyze the acceptance of one new feature: ‘The most favored Guest’. This service allows every sign up member to define his personal list of favored guests for an upcoming event. Once the selected users are informed about their election, they, in turn, have the chance to define their own list. After a first round of selection, we tried to boost the personal acceptance of our members by providing specific incentives. Beside the active interventions into the process of adoption, we also analyzed a passive phenomenon: Does some kind of peer pressure exist within virtual cliques? If so, there might emerge some interesting changes in common marketing strategies which could narrow down the target audience to some single users of the network. In addition, we visualized some of the encountered situations and putted them together in an illustrated book as supplement to this paper.

Marc Vontobel: “Purple Leaf – Evaluation of the Adoption of New Features in a Web-Based Social Network”, ed. by Gerald Reif, Amancio Bouza, Harald C. Gall, University of Zurich, December 2008. (bachelorsthesis)

Guild management in World of Warcraft with graph-based knowledge maps:

March 8th, 2007
Guild members with professions and character class

Guild members with professions and character class

Knowledgemaps aren’t usefull in companies only. The can be used in every domain where people challenge to get knowledge. In multiplayer online games, especially in so called MMORPG like World Of Warcraft (WoW), the players suffer don’t having an easy way to get an overview of their own guild.

You have to know that in MMORPG people can build or join a guild to share their skills and help each other the finish heavy quests. In WoW people can select between various professions. Each profession (e.g. Blacksmithing, Leatherworking, Alchemist) is able to produce important stuff for other players. In a guild people share this products very cheap. If you want to buy those item on the market you would pay realy a lot. An other important reason for guilds are to build groups of 5 players to fight in so called dungeons. Dungeons are places in WoW with heavy enemies. You don’t have a chance in dungeons without planning the group. The group should consist of a healer (very important), a tank (usually a warrior) and a combination of other classes.
In a big guild it is very hard to find out who’s a healer etc.. The problem increases by the fact, that people don’t play only with one character. For example one plays as healer and plays a warrior as twink too. You can just use one of them. People loose the overview of who is who and have problems to build groups for dungeons.

Using a knowledgemap that visualizes the guild by showing the guild characters, their professions and classes, solves the problem of guild organization and aquiring guild benefits. Connecting Characters with twinks and connecting characters to professions and classes creates a knowledgemaps that helps the guild. You don’t have to know which character has got what profession or is of what class. If you are interested in some armor, liquids, food, juwelery, etc. or if you are interested in building a group for the dungeons that needs a special combination of character classes and abilites, you only have to study the knowledgemap.

In that sence, knowledgemaps leeds to a well organized guild for MMORPG, where the players effectively create dungeon teams and profit from the products of other characters professions.
In my case, I used the knowledgemap metapher to visualize the characters, professions and classes. The guild tried to publish their assets as a forum thread before. But it realy wasn’t that easy to find out what characters is only a twink, etc. by reading all the posts. Especially when people leaves the guild, delete a character or what ever the assets of the guild changes even they mention it in a post. But it’s not possible to get the status quo of the guild if you have to follow all the posts in a thread.

On the other side, a knowledmap can always show the current situation and that’s the power of it: Visualization of the status quo in the guild, ability of organizing dungeon teams and benefit from professions of the other characters.