Trust Inference Model Proposal

Trust Inference Model Proposal (step1-13 in Alg. 4) in the continu-ous case. For advogato data set, we directly report the results on all the six snapshots (i.e., advogato-1, . . . , advogato-6). For PGP, we use its subsets to study the scalability. The result is shown in Fig. 6, which is consistent with the complex-ity analysis in Section 4.3. As we can see from the figure, MATRI scales linearly wrt to both n and |K|, indicating that it is suitable for large-scale applications. The scalability result for the binary case is similar, and we omit the figures for brevity. (b) (c) (d) Fig. 3. Scalability of the proposed MATRI for continuous case. MATRI scales linearly wrt the data size (n and |K|). (a) Wall-clock time vs. n on advogato. (b) Wall-clock time vs. |K| on advogato. (c) Wall-clock time vs. n on PGP. (d) Wall-clock time vs. |K| on PGP. Fig. 4. Comparisons of alternative solutions of MATRI. Compared to MATRI-AA, MATRI-SS and MATRI-AS are more than 10x faster while preserving more than 90% accuracy on both data sets. (a) advogato data set. (b) PGP data set. (C) Comparisons of the Alternatives of MATRI. As men-tioned before, the stochastic gradient descent method (SGD) could also be used for the continuous trust inference prob-lem in computing propagation vector and solving Eq. (5). We now experimentally evaluate the efficiency of all the four alternatives of MATRI. We use MATRI-AA to denote the original MATRI, MATRI-SA to denote the case when we use SGD in the propagation step, MATRI-AS. VI RELATED WORK In this section, we briefly review related work, includ-ing trust propagation models, multi-aspect trust inference models, etc. Trust Propagation Models. To date, a large body of trust inference models are based on trust propagation where trust is propagated along connected users in the trust net-work, i.e., the web of locally-generated trust ratings. Based on the interpretation of trust propagation, we further cate-gorize these models into two classes: path interpretation and component interpretation.The proposed MATRI integrates the trust propagation with two other important properties, i.e., the multi-aspect of trust and trust bias. In addition, our multi-aspect model offers a natural way to speed up on-line query response; as well as to mitigate the sparsity or coverage problem in trust inference where some trustor and trustee might not be connected with each other both are known limitations with the current trust propagation models [10]. Multi-Aspect Trust Inference Models. Social scientists have explored the multi-aspect property of trust for several years [8]. In computer science, there also exist a few trust inference models that explicitly explores the trust propagation. Trust Bias in Trust Inference. In sociology, it was dis-covered a long time ago that trust bias is an integral part in the final trust decision [9]. Nonetheless, this important aspect has been largely ignored in most of the existing trust inference models. One exception is from Nguyen et al. [13], which learns the importance of several trust bias related features derived from a social trust framework. Recently, Mishra et al. [25] propose an iterative algorithm to compute trust bias. Different from these existing works, our focus is to incorporate various types of trust bias as specified factors/aspects to increase the accuracy of trust inference. VII CONCLUSION In this paper, we have proposed a trust inference model, as well as a family of algorithms to apply the model to both continuous and binary inference scenarios. The basic idea of the proposed MATRI is to leverage the multi-aspect property of trust by characterizing several aspects/factors for each trustor and trustee based on the existing trust relationships. In addition, MATRI incorporates the trust propagation and trust bias; and further learns their rela-tive weights. By integrating all these important properties, our experimental evaluations on real benchmark data sets show that MATRI leads to significant improvement over several benchmark approaches in prediction accuracy, for both quantifying numerical trustworthiness scores and pre-dicting binary trust/distrust signs. The proposed MATRI is also nimble it is up to 7 orders of magnitude faster than the existing trust propagation methods in the on-line query response, and in the meanwhile it enjoys the linear scalabil-ity for th e pre-computational stage in both time and space. Future work includes investigating the capability of MATRI to address the trust dynamics. REFERENCES C. Ziegler and G. Lausen, â€Å"Propagation models for trust and distrust in social networks,† Inform. Syst. Front., vol. 7, no. 4, pp.337–358, 2005. A. Jà ¸sang and R. Ismail, â€Å"The Beta reputation system,† in Proc. 15th Bled Electron. Comm. Conf., vol. 160. Bled, Slovenia, Jun. 2002. S. D. Kamvar, M. T. Schlosser, and H. Garcia-Molina, â€Å"The Eigentrust algorithm for reputation management in P2P net-works,† in Proc. 12th Int. Conf. WWW, Budapest, Hungary, 2003, pp.640–651. M. Richardson, R. Agrawal, and P. Domingos, â€Å"Trust management for the semantic web,† in Proc. 2nd ISWC, Sanibel Island, FL, USA, 2003, pp. 351–368. D. Cartwright and F. Harary, â€Å"Structural balance: A generalization of Heider’s theory,† Psychol. Rev., vol. 63, no. 5, pp. 277–293, 1956. G. Liu, Y. Wang, and M. Orgun, â€Å"Trust transitivity in complex social networks,† in Proc. AAAI, 2011, pp. 1222–1229. D. Gefen, â€Å"Reflections on the dimensions of trust and trustwor-thiness among online consumers,† ACM SIGMIS Database, vol. 33, no. 3, pp. 38–53, 2002. D. Sirdeshmukh, J. Singh, and B. Sabol, â€Å"Consumer trust, value, and loyalty in relational exchanges,† J. Marketing, vol. 66, no. 1, pp.15–37, 2002. A. Tversky and D. Kahneman, â€Å"Judgment under uncertainty: Heuristics and biases,† Sci., vol. 185, no. 4157, pp. 1124–1131, 1974. Y. Yao, H. Tong, F. Xu, and J. Lu, â€Å"Subgraph extraction for trust inference in social networks,† in Proc. IEEE/ACM Int. Conf. ASONAM, Istanbul, Turkey, 2012, pp. 163–170. L. Xiong and L. Liu, â€Å"Peertrust: Supporting reputation-based trust for peer-to-peer electronic communities,† IEEE Trans. Knowl. Data Eng., vol. 16, no. 7, pp. 843–857, Jul. 2004. J. Tang, H. Gao, and H. Liu, â€Å"mTrust: Discerning multi-faceted trust in a connected world,† in Proc. 5th ACM Int. Conf. WSDM, Washingtion, DC, USA, 2012, pp. 93–102. V. Nguyen, E. Lim, J. Jiang, and A. Sun, â€Å"To trust or not to trust? Predicting online trusts using trust antecedent framework,† in Proc. 9th IEEE ICDM, Miami, FL, USA, 2009, pp. 896–901. Y. Koren, â€Å"Factorization meets the neighborhood: A multifaceted collaborative filtering model,† in Proc. 14th ACM SIGKDD Int. Conf. KDD, New York, NY, USA, 2008, pp. 426–434. R. Guha, R. Kumar, P. Raghavan, and A. Tomkins, â€Å"Propagation of trust and distrust,† in Proc. 13th Int. Conf. WWW, New York, NY, USA, 2004, pp. 403–412. Y. Koren, R. Bell, and C. Volinsky, â€Å"Matrix factorization techniques for recommender systems,† Comput., vol. 42, no. 8, pp. 30–37, 2009. P. Massa and P. Avesani, â€Å"Controversial users demand local trust metrics: An experimental study on epinions. com community,† in Proc. 20th Nat. Conf. AAAI, 2005, pp. 121–126. B. Lang, â€Å"A computational trust model for access control in P2P,† Sci. China Inform. Sci., vol. 53, no. 5, pp. 896–910, 2010. R. Bell, Y. Koren, and C. Volinsky, â€Å"Modeling relationships at mul-tiple scales to improve accuracy of large recommender systems,† in Proc. 13th ACM SIGKDD Int. Conf. KDD, New York, NY, USA, 2007, pp. 95–104. H. Ma, M. Lyu, and I. King, â€Å"Learning to recommend with trust and distrust relationships,† in Proc. 3rd ACM Conf. RecSys, New York, NY, USA, 2009, pp. 189–196. A. Buchanan and A. Fitzgibbon, â€Å"Damped Newton algorithms for matrix factorization with missing data,† in Proc. IEEE CVPR, vol. 2. Washington, DC, USA, 2005, pp. 316–322. X. Liu, A. Datta, K. Rzadca, and E. Lim, â€Å"Stereotrust: A group based personalized trust model,† in Proc. 18th ACM CIKM, Hong Kong, China, 2009, pp. 7–16. D. Watts and S. Strogatz, â€Å"Collective dynamics of ’small-world’ networks,† Nature, vol. 393, no. 6684, pp. 440–442, 1998. J. Leskovec, J. Kleinberg, and C. Faloutsos, â€Å"Graphs over time: Densification laws, shrinking diameters and possible explana-tions,† in Proc. 11th ACM SIGKDD Int. Conf. KDD, Chicago, IL, USA, 2005, pp. 177–187. C.-W. Hang, Y. Wang, and M. P. Singh, â€Å"Operators for propagating trust and their evaluation in social networks,† in Proc. 8th Int. Conf. AAMAS, Budapest, Hungary, 2009, pp. 1025–1032. J. Leskovec, D. Huttenlocher, and J. Kleinberg, â€Å"Predicting posi-tive and negative links in online social networks,† in Proc. 19th Int. Conf. WWW, Raleigh, NC, USA, 2010, pp. 641–650. Y. Wang and M. P. Singh, â€Å"Trust representation and aggregation in a distributed agent system,† in Proc. 21st Nat. Conf. AAAI, 2006, pp.1425–1430. Y. Wang and M. P. Singh, â€Å"Formal trust model for multiagent systems,† in Proc. 20th IJCAI, San Francisco, CA, USA, 2007, pp.1551–1556. C. Hsieh, K. Chiang, and I. Dhillon, â€Å"Low rank modeling of signed networks,† in Proc. 18th ACM SIGKDD Int. Conf. KDD, Beijing, China, 2012, pp. 507–515. K.-Y. Chiang, N. Natarajan, A. Tewari, and I. S. Dhillon, â€Å"Exploiting longer cycles for link prediction in signed net-works,† in Proc. 20th ACM CIKM, Glasgow, Scotland, U.K., 2011, pp.1157–1162.

HITECH visual and psychological method Essay

We may look at Ads as an informative tool with critical judgement. The ads give misleading impression on people basically through the words used or through the verbal message conveyed by an established public person addressing the audience to provoke the feelings for getting the result as claimed by the Ad quickly . Latter method is to (mis)use the stardom value of the person on the screen. For example Amitabh Bachchan speaking good of some cold drink. Its good that he stopped it subsequently may be because he understood responsibility of his stardom. Good of him. But this speaks of misleading effect an ad can create on the minds of people who are easily carried away by the appeal of their favorite star. It will be a good idea if some wise and responsibly feeling stars come forward for the cause of consumers! And also the consumers get educated against the HITECH visual and psychological methods used by the Ads. Misleading Advertisements There are many advertisements that always overstate the products’ effectiveness in our daily life. One of the most notable example is weight-reducing advertisement. In addition, the height-adding and health-improving advertisements are also good examples of misleading advertisements. People can see many different kinds of weight-reducing advertisements on cable television programs, and these advertisements are always broadcast all day. They will have many consumers tell audience their personal experiences, and their amazement at the strong effectiveness of this weight-reducing product. Furthermore, the average weight the consumers lose may be almost five to eight kilograms a month. These users will also tell audience that this weight-reducing product makes their face glowing with health because this product makes their chronic excrement smoothly and completely out of their bodies. However, the best way to reduce weight is to do more exercise and eat less food of high calorie, so I don’t think using weight-reducing products is a good way to lose weight, and these kinds of products may have side effects that will hurt people’s bodies. Height-adding advertisements are also a good example of misleading advertisements. These kinds of advertisements always have a doctor explain the principle of adding height; then, a short user will appear and asks that doctor to help him. After one week, that short user will show up, and he would become taller by about three centimeters, and the user will have more confidence in themselves than before. One month later, the user will become almost another person because his/her height will increase about ten centimeters. Also, the user would tell audience that his/her interpersonal relation becomes better than before, and makes more friends of the opposite sex. However, people’s height will not increase so dramatically, especially after the growth period, so height-adding product advertisements are really misleading. Health-improving advertisements are always broadcast on TV programs, and in this kind of advertisement there will be a linkman, an expert, and many users. The expert will do an experiment of healthy food, and tell the audience that this kind of healthy food is more effective than others. Then, a user will appear and tell the audience that he/she had cancer before, but since he/she used this product for one year, the cancer magically disappeared. Moreover, he/she will tell the audience that his/her weak body turns to be a strong one. However, if people want a healthy body, they have to keep their daily life regular and have a balanced diet. These three kinds of misleading advertisements are easily seen in our daily life, and most people will believe their effectiveness. This kind of concept is very dangerous because if the product has poisonous substance, it will hurt people’s body severely. Therefore, people should test these three kinds of products before using them. These products may have side effects or people will lose their health without getting the effectiveness that the advertisements state.

The Jewish Community - 1330 Words

For many members of the Jewish community, the nature of their identity has been a question that has shaped their position in the modern world. Does the term Jew only consider a group of religious followers? Or does the classification of Jew have much broader nationalistic implications? The Jews of the Habsburg Empire during the 18th and 19th centuries, and more specifically in the crown land of Galicia, began to reexamine their political identities. As German Liberalism grew in popularity some members of the Galician Jewry began to see Jews, not only as a religious group, but as a nationality in its own right. These ideas stemmed from the reformist policies of Joesph II, Enlightenment ideals, and a brief revolutionary period. It was†¦show more content†¦Upon its annexation into the Habsburg Empire, Galicia had a Jewish population of 215,477. Jewish Historian William O. McCagg Jr. asserts that in 1785, Jews made up nearly nine percent of the Galician population, and nea rly seven-teen percent of the Capitol region of Lwà ³w. Galicia’s Jewish population surged after years of Jewish expulsion across the Empire. Many exiled Jews migrated to Galicia from Germany and Vienna. These past expulsions left large portions of the Galician population with a sense of loss. They had no true home, and were not fully welcomed in Galicia. They did not speak the same language as their Polish counterparts, and lived in small isolated communities. This disenfranchisement would later lead to their larger identity crisis and to the surge of Jewish Nationalism. Another critical factor that would push the Galician Jews down the road to Nationalism was the Habsburg State’s legislative response to the Jewish presence in the crown land. This facet of the Jewish question is more convoluted, and will take a more in-depth examination in order to fully understand both the motives of the Habsburg State and its subsequent effect on the Jewish people. The Mona rchy of the Habsburg Empire implemented a series of reformative policies that would push the Galician Jews to assimilate with the secular population. This was done in an attempt to strengthen the Empire’s economy, by better harnessing the Jewish

Beowulf As A Hero With Extraordinary Strength And Will

Carter Witt Mrs. Smith EN 210 7 November 2014 â€Å"Heroism in Beowulf† Beowulf is depicted as a great hero with extraordinary strength and will. This is not what makes him such a great hero though. Webster’s dictionary defines a hero as a person who is admired for brave acts or fine qualities (Merriam-Webster). While Beowulf has these qualities the definition does not do him justice. It seemed that his purpose in life was to help others and this is proven when he eventually sacrifices his life when he fought a dragon. The battle between the Grendel, Grendel’s mother, and the dragon help define Beowulf’s heroic characteristics. He establishes himself as a hero by fighting three different antagonists, exemplifying the strength and†¦show more content†¦The celebration of the defeat of Grendel was short lived because Grendel’s mother wanted revenge for her sons death. Grendel’s mother stormed into the meed hall where the men were sleeping and grabbed the kings most cherishe d counselor and the bloodily arm of her son. The King of Heorot once again fell into depression because of the attacks. He tells Beowulf the news about another attack from the evil monster. Beowulf, gives a heroic answer by saying, â€Å"She can go where she likes, but I promise you that she shall find no cover from me, whether in the bowels of the earth, in mountain thickets, or in the depths of the ocean. Have patience in your grief today, as I know you will.† (Greenblatt, 72). Beowulf then proceeds to hunt down the monster and battle her in her den at the bottom of a lake. The feat of Beowulf surviving the intense battle at the bottom of the lake and then hauling out Grendel’s mothers head is miraculous (Greenfield). This shows great heroic qualities because the people he s doing all these great acts for are not even his people. Beowulf is protecting the Kingdom of Heorot and its people so that they will no longer have to suffer at the hands of evil beasts. Beowulf continues to fight heroic battles through out his life but he faces certain death when he must fight his greatest foe who is destroying is kingdom, the