A group recommender for movies based on content similarity and popularity

People are gregarious by nature, which explains why group activities, from colleagues sharing a meal to friends attending a book club event together, are the social norm. Online group recommenders identify items of interest, such as restaurants, movies, and books, that satisfy the collective needs of a group (rather than the interests of individual group members). With a number of new movies being released every week, online recommenders play a significant role in suggesting movies for family members or groups of friends/people to watch, either at home or at movie theaters. Making group recommendations relevant to the joint interests of a group, however, is not a trivial task due to the diversity in preferences among group members. To address this issue, we introduce GroupReM which makes movie recommendations appealing (to a certain degree) to members of a group by (i) employing a merging strategy to explore individual group members’ interests in movies and create a profile that reflects the preferences of the group on movies, (ii) using word-correlation factors to find movies similar in content, and (iii) considering the popularity of movies at a movie website. Unlike existing group recommenders based on collaborative filtering (CF) which consider ratings of movies to perform the recommendation task, GroupReM primarily employs (personal) tags for capturing the contents of movies considered for recommendation and group members’ interests. The design of GroupReM, which is simple and domain-independent, can easily be extended to make group recommendations on items other than movies. Empirical studies conducted using more than 3000 groups of different users in the MovieLens dataset, which are various in terms of numbers and preferences in movies, show that GroupReM is highly effective and efficient in recommending movies appealing to a group. Experimental results also verify that GroupReM outperforms popular CF-based recommenders in making group recommendations.     

恐惧之美——恐怖电影的美学价值及其审美体验摭谈

恐怖电影给观众带来的强烈视觉冲击和巨大心理恐惧让好之者谓之快哉,为何电影中频繁出现的暴力、血腥、恐怖的画面能让观众乐此不疲?显然,现代的恐怖电影中不乏能让观众从恐惧中找到快感的元素,这与恐怖电影本身具有的美学价值有关,因为只有能让人们产生审美体验的事物才能合理存在并继续发展。通过对恐怖电影发展史的简单梳理并分析其美学价值及给观众带来的审美体验,还原恐惧之为美的本来面目,为恐怖电影存在的合理性和必要性谋得一席之地。     

Understanding the adoption of location-based recommendation agents among active users of social networking sites

Nowadays, using increasingly granular data, from real-time location information and detailed demographics to consumers-generated content on the social networking sites (SNSs), businesses are starting to offer precise location-based product recommendation services through mobile devices. Based on the technology acceptance model (TAM), this paper develops a theoretical model to examine the adoption intention of active SNS users toward location-based recommendation agents (LBRAs). The research model was tested by using the Partial Least Squares (PLS) technique. The results show that perceived usefulness, perceived control, and perceived institutional assurance are important in developing adoption intention. Perceived effort saving, special treatment, and social benefit have influences on the adoption intention through the mediating effect of perceived usefulness. Perceived accuracy has direct influence on adoption intention.     

Movies in Public Libraries: A Checklist Comparison with Internet Movie Database Recommendations

This research compares the fifty top-rated movies for 2000–2009 recommended by the Internet Movie Database (IMDb) with the holdings of ten medium-sized public libraries. The study shows that there was no relation between a movie's rank in the IMDb listing and the number of copies held. Relationships appeared between number of library holdings and country of production (U.S. productions favored), genre (family, sci-fi, animation, adventure favored), and Motion Picture Association of America (MPAA) rating (G, PG, PG-13 preferred). Library holdings seem to reflect preferences of IMDb raters aged 30 and older, not popular movie tastes.     

协同过滤算法改进及研究

针对协同过滤中存在的稀疏性问题,提出改进方法——BAS算法。该算法结合贝叶斯度量方法和奇异值降维分解方法,利用传统的基于奇异值分解获得活跃用户的邻居,通过改进后的相似性度量方法得出预测值。对改进后的算法进行理论分析和实验对比。结果表明,该方法在所用数据集上能够有效缓解数据稀疏性问题,并且改善推荐精度的准确性,在一定程度上提高了推荐引擎的推荐质量。     

基于改进LDA-FCM的UserCF知识推荐研究

针对传统知识推荐算法存在的语义缺失和精准性低问题,本文提出一种基于改进LDA-FCM的知识推荐算法。首先获取用户知识文档,采用主题优化的LDA模型挖掘用户知识主题。继而通过FCM算法将用户聚类,缩小相似度计算的遍历范围,并采用JS散度代替欧氏距离,实现FCM对象到用户的转换。最后基于UserCF算法构建用户对知识的兴趣指数并进行TOP-N推荐。爬取中国知网500篇期刊论文实测发现：与传统UserCF算法相比,改进算法的准确率、召回率和F1值分别提高了28.17%、59.62%、53.88%。     

论冯小刚电影的人生形态

就冯小刚电影中所表现的人生形态进行讨论,提出冯小刚电影中所表现人生形态的发展阶段,人生尴尬的主要特点,以及对这种尴尬的化解,因此这种尴尬的深刻与化解的世俗,使得冯小刚电影赢得了从官方到平民的喜爱,但作为知识分子,冯小刚敏锐的发现和刻意的回避,则表现了知识分子精神退守的策略与无奈的泛道德化倾向。     

影视时代读者的瓦解与建构

1990年代以来,大众传媒和商业意识的崛起,彻底瓦解了传统的读者群,阅读成为一个分化的小部落行为,阅读趣味也发生了巨大的分裂。强大的大众传媒力量构建了一个权利的话语体系,读者的阅读行为也被纳入到这一强大的媒介话语的生产结构之中。在以电视传媒为代表的大众文化日益渗透的影响下,受众的阅读心理呈现出一种娱乐化的特征,读者的阶层呈现全面的分化。在电视的强大影响下,阅读开始以家庭或小群体为单位,随着电视的指针而选择同一种阅读类型。当影视文化建构起的消费主义意识形态深刻地引导着受众的消费——购买影视图书的时候,读者就成为马尔库塞所说的“单向度的人”．     

A novel recommendation method based on social network using matrix factorization technique

The rapid development of information technology and the fast growth of Internet have facilitated an explosion of information which has accentuated the information overload problem. Recommender systems have emerged in response to this problem and helped users to find their interesting contents. With increasingly complicated social context, how to fulfill personalized needs better has become a new trend in personalized recommendation service studies. In order to alleviate the sparsity problem of recommender systems meanwhile increase their accuracy and diversity in complex contexts, we propose a novel recommendation method based on social network using matrix factorization technique. In this method, we cluster users and consider a variety of complex factors. The simulation results on two benchmark data sets and a real data set show that our method achieves superior performance to existing methods.     

中国远程教育的新视角:远程农村教师教育

从令人痛楚：中国农村教师教育现状；当务之急：加大农村中小学教师培训力度；快捷高效：中国远程教师教育特色；迫切需求：中国农村开展远程教师教育等4个方面对农村教师教育问题进行了研究，提出了改变当前我国农村教师教育现状的若干思考和对策，对我国在新世纪充分发挥现代远程教师教育手段开展农村教师教育作出展望。