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Topics

Topics. - Background - Problem domain - Proposed solution - System Main features - System architecture - Top Level architecture - System components - UI Screen shots - Technologies. Background.

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Topics

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  1. Topics - Background - Problem domain - Proposed solution - System Main features - System architecture - Top Level architecture - System components - UI Screen shots - Technologies

  2. Background The goal of this project is to create a gaming community that will enable the sharing of data and knowledge throughout the community and with other communities for the benefit of all the users participating.

  3. The Problem Domain - Gamers nowadays need a place that would enable them to extend their gaming experience outside the game servers. - As part of the mutual learning and gaming experience, gamers need a tool for grading and maintaining their gaming reputation.

  4. Proposed Solution - Creating a High-end online community, using many tools available in the market today, in order to enable the highest level of communication between the gamers, the game servers and the administrators. - Introducing the TRIC system provided by our client. This system will manage all of the community’s ranking data and its sharing amongst other communities.

  5. System's Main features • - Challenge Management: System provides mechanism for generating a new challenge, sending it to the expert and closing it when due. • - Community Site: Shoutboxes, community and game News, game packs and features. • - Community Forum. • Expert searching system: search experts in a certain field and/or by reputation, name. • - Manipulating and calculating user's reputations using TRIC.

  6. TRIC • TRIC is a suggested reputation calculation method. • When seeking the help of an expert in a diverse community where every individual can claim he is an expert at certain fields you want to devise a reputation system which imitates “human ways of achieving reputation” in the closest way. • A claimed expert in a certain field may be viewed differently by novice users in opposed to experienced users or other experts at that field.

  7. TRIC -Cont. • A member may regard highly of the politeness of the expert or the time of which he responds while others will have more emphasize on accuracy and level of proficiency provided by that expert. • Hence the TRIC quantifies the reputation for the same expert differently per member’s perspective. • The TRIC normalizes the following factors:

  8. TRIC -Cont.

  9. TRIC -Cont. • Direct Experience – the rating history you provided to that expert. • Trust Set Experience – a set of members which their Trust Member(TM) function is above a certain level. The Trust Member function in general is a product of the similarity between the members rating vectors and the amount of confidence the member have on the second member all in respect to a certain time interval.

  10. TRIC -Cont. • Knot local reputation – A knot is a subset of community members identified as having overall strong trust relations among themselves. Two members A and B belong to the same knot if A has high enough direct trust in B (this implies that B is in A’s trust set) or if A has high enough indirect trust in B (e.g. if A trusts C and C trusts B and by applying the transitive property of trust we conclude that A trusts B), and vice versa. • knots have the ability of reducing the risk of relying on dishonest or biased recommendations, since the members that provide these recommendations are identified and excluded from the knot.

  11. TRIC -Cont. • Community Global Reputation – Global reputation is calculated based on all the ratings given to an expert within the community. • An important Bonus! The incentive provided by this model for not being selfish is that this allows a member to obtain more accurate Information from members she trusts. Without providing ratings, a member cannot have a trust set nor can she belong to a knot (due to lack of trust in her). Thus, selfish members can only use the global and less accurate reputation data. In order to get the most out of the community services, one must provide ratings.

  12. Top level Architecture

  13. System components - Community Website: - The domain where all the components and features are brought together for the convenience of the user. - Messages service and Expert Challenge service are integrated. - TRIC: - Maintain the ranking data provided by the community users. - Calculating the reputation of users. - Data bases: - Holding all other relevant community data . - Forum: - An off-shelf product aimed for increasing the communicability of the communities users.

  14. UI Screen shots

  15. UI Screen shots

  16. UI Screen shots

  17. UI Screen shots

  18. UI Screen shots

  19. UI Screen shots

  20. Technologies

  21. Team Members Yehuda Huri Zvika Sela Daniel Barak Academic Adviser Prop. Ehud Gudes Technical Adviser Gilad Bauman

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