1. 毕业设计（论文）主要内容：

此次研究首先将以拼团电商的商业模式、运营机制入手，研究社交流量和电商利润相结合的商业机制原理和发展困境；进而研究社会化电商中信任度和相似度的过滤机制和推荐机制，着重解决关系信任和个体偏好之间的关系，建立一套基于关系信任的推荐模式以促进社交流量向电商流量的转化；之后以此为基础，理论联系实际优化现有社交电商推荐机制，探索社会化电商未来的发展方向.

2. 毕业设计（论文）主要任务及要求

论据要充分支持论点；理论、观点、概念表达要准确、清楚；

字数一般要求在10000字以上。

参考文献不少于30篇，其中外文文献10篇以上,

3. 毕业设计（论文）完成任务的计划与安排

第1-4周：收集和整理资料。

第5-6周：拟定提纲，提交开题报告。

第7-13周：撰写论文初稿和修改稿,保持与指导教师的沟通。

4. 主要参考文献

[1] Andersen R,BorgsC,Chayes J,Fcige U.Trust-Based recommendation systems: An axiomaticapproach.In: Proc.of the Int'l World Wide WcbConf. (www2008).Beijing,2008.[doi: 10.1145/1367497.1367525]
[2] Kamvar SD,SchlosserMT,Garcia-Molina H.The cigentrust algorithm for reputation management in P2Pnctworks.In: Proc .of the12th Int'l Conf.on World Wide Wcb.ACM Press,2003640-651[doi: 10 1145/775152 .775242]
[3] Golbeck J.Computing andApplying Trust in Wcb-Based Social NctWorks [Ph D.Thesis].Maryland: Universityof Maryland,2005.
[4] Avesani P,Massa P,Ticlla R Atrust-cnhanccd recommender systcm application Mole skiing.In: Proc of the 2005ACM Symp.on Applied computing.2005.1589- 1593.[doi: 10.1145/1066677.1067036]
[5] Massa P,Avesani P Trust-Awarcrecommender systems.In: Proc of the 2007 ACM Conf.on RccommenderSystcms.Minncapolis,2007.17-24.[doi: 10.1145/1297231.1297235]
[6] Jamali M,Ester M.Trustwalker: Arandom walk model for.combining trust-based and item-based recommendation.In:Proc of the 15th ACM SIGKDD Int'l Conf.on Knowledge Discovery and DataMining.Paris,2009.397-406.[doi: 10.1145/1557019 1557067]
[7] Walter FE,BattistonS,Schwcitzcr F A modcl of a trust-based recommendation system on a socialnctwork .Autonomous Agents and Multi-Agent Systems,2008,166 1).[doi:10.1007/s10458-007-902 1-x]
[8] Bedi P,Kaur H,Marwaha s .Trustbased recommender systcm for the semantic Wcb.In: Proc of the IJCAI 2007.2007.
[9] Ma H,Yang H,LyuMR,KingI.SoRece: Social recommendation using probabilistic matrixfactorization.In: Proc ofthe Int'l Conf.on Information and KnowledgeManagement.ACM Press,2008.931-940.[doi: 10 1145/1458082 1458205]
[10] Ma H,King I,Lyu MR.Learning torecommend w rith social trust ensemble.In: Proc.of the 32nd Int'l ACM SIGIRConf.onResearch and Development in Information Retrieval. ACM Press,2009203-210.[doi: 10 .1145/1571941.1571978]
[11] Jamali M,Estcr M.A matrixfactorization tchniquc with trust propagation for recommendation in socialnctworks.In: Proc of the4th ACM Conf.on Recommender Systems 2010.135- 142.[doi:10 1145/1864708.1864736]
[12] Wang D,Ma J,Lian T,Guo LRecommendation based on weighted social trusts and item relationships.In: Procof the 29th Annual ACM Symp on Applied Computing.ACM Press,2014.254-259.[doi:10.1145/2554850 .2554884]

[13] Guo L,Ma J,ChenZM,Jiang HB.Incorporating item rclations for social recommendation ChinescJournal of Computers,2014,37( l):219-228 (in Chinesc with English abstract).
[14] Wang M,Ma J.A novclrecommendation approach based on users' wcighted trust relations and the ratingsimilaritics.In :Proc of the Soft Computing.2015.1- 10.[doi:10.1007/s00500015-1734-1]
[15] Mnih A,SalakhutdinovR.Probabilistic matrix factorization.In: Proc.of the Advanccs in NcuralInformation Processing Systems.2007.1257-1264.