排序方式： 共有35条查询结果，搜索用时 25 毫秒
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高校红色社团作为高校在校学生组成的研究马克思列宁主义、毛泽东思想和中国特色社会主义理论体系的学术社团,具有坚定的政治方向性、鲜明的时代性、强大的生命力和科学的实践性几个特征,是高校推进马克思主义大众化的有效载体。红色社团要通过高校的大力扶持、加强社团骨干队伍建设和不断创新推动马克思主义大众化等方式方法来有效推进马克思主义大众化。 相似文献
2.
刘宇浩 《毕节师范高等专科学校学报》2014,(6):67-71
以党的十八大建设社会主义文化强国战略为切入点,对毕节试验区的政治文化建设进行思考。提出建设政治文化理论品牌的概念及策略：整合毕节试验区民族文化、整合毕节试验区红色文化、整合毕节试验区＂同心＂文化,以期共同推进政治文化理论品牌建设。 相似文献
3.
当代马克思主义大众化是指包括邓小平理论、＂三个代表＂重要思想及科学发展观在内的中国特色社会主义理论体系的大众化。在推进当代马克思主义大众化的过程中,大众化对象的变化、大众化内容的通俗化标准、大众化形式亲民化与娱乐化的界限这三个难点亟待解决。必须放眼时代变迁,正确把握大众化对象的新特征;坚持适度原则,科学界定大众化内容的通俗化标准;正确处理亲民化与娱乐化的关系,创新马克思主义大众化的形式。 相似文献
4.
This study examines the impacts of social influence, which are manifested by popularity and source credibility, on social endorsement in social Q&A community; and how the relationship is impacted by temporal-spatial factors. By collecting panel data from a large platform, the results of an econometric model demonstrate that popularity and source credibility are positively associated with social endorsement. With respect to the moderation effects, the results further show that time distance strengthens the effect of popularity on the social endorsement, but undermines the effect of source credibility; while crowdedness plays the role that strengthens the impact of popularity on the social endorsement, it has no significant moderating effect on the relationship between source credibility and social endorsement. Both theoretical and practical implications are discussed. 相似文献
5.
元小佩 《温州职业技术学院学报》2020,(1):82-86
城市文化是一座城市生命力的展现,是其后续发展的内存动力。对杭州城市文化现状进行调查,结果表明:杭州是座人文底蕴深厚、交通发达的旅游城市,市民对城市文化认可度较高,但存在历史文化景点推广宣传不够、人气不旺、传播手段还不够丰富等问题。为促进杭州城市文化的传承发扬,应多举措加强杭州历史文化宣传,强化人才吸引力、打造宜居城市,借助重要国际会议或赛事、提升城市品牌影响力,充分利用微信等平台多渠道传播。 相似文献
6.
陈晖 《山西师大学报(社会科学版)》2006,33(4):62-65
张爱玲创作的通俗化追求,既为她的个人爱好、禀赋所决定,也受到特定文学环境的影响。张爱玲作品的通俗性主要表现在内容的世俗化、传奇性上,在语言和审美趣味上也有体现。从其作品的精神内涵和艺术表现看,张爱玲的创作不能划归通俗文学的行列。 相似文献
7.
《Information processing & management》2023,60(5):103456
To achieve personalized recommendations, the recommender system selects the items that users may like by learning the collected user–item interaction data. However, the acquisition and use of data usually form a feedback loop, which leads to recommender systems suffering from popularity bias. To solve this problem, we propose a novel dual disentanglement of user–item interaction for recommendation with causal embedding (DDCE). Different from the existing work, our innovation is we take into account double-end popularity bias from the user-side and the item-side. Firstly, we perform a causal analysis of the reasons for user–item interaction and obtain the causal embedding representation of each part according to the analysis results. Secondly, on the item-side, we consider the influence of item attributes on popularity to improve the reliability of the item popularity. Then, on the user-side, we consider the effect of the time series when obtaining users’ interest. We model the contrastive learning task to disentangle users’ long–short-term interests, which avoids the bias of long–short-term interests overlapping, and use the attention mechanism to realize the dynamic integration of users’ long–short-term interests. Finally, we realize the disentanglement of user–item interaction reasons by decoupling user interest and item popularity. We experiment on two real-world datasets (Douban Movie and KuaiRec) to verify the significance of DDCE, the average improvement of DDCE in three evaluation metrics (NDCG, HR, and Recall) compared to the state-of-the-art model are 5.1106% and 4.1277% (MF as the backbone), 3.8256% and 3.2790% (LightGCN as the backbone), respectively. 相似文献
8.
运用问卷调查、专家访谈、分析比较和数理统计等研究方法,并查阅大量的文献,分析影响湖北高校定向运动教学和普及的因素。结果表明：1．影响湖北高校定向运动教学的主要因素是领导重视、经费投入;2．影响普及的主要因素是定向运动宣传、领导重视和学生兴趣;3．对教学和普及影响都比较大的因素是学生兴趣、领导重视和经费投入。并根据湖北省实际对湖北省高校定向运动发展提出建议。 相似文献
9.
陈文钢 《温州大学学报(社会科学版)》2008,21(1):58-63
曲子词与现代流行音乐具有某种可比性,词的意象比流行音乐的影像更符合艺术人类学特质。在词的雅俗之争中,实际上应区分平民性与平民化两概念。前者是一种精英引领的审美人道主义,一种生命韵律,后者更是受众想要的一种娱乐快感。词为了获得平民性而离开了诗的精英主义,最终又为了抛开俚俗而远离了平民性,走向了丈人的趣味主义。词的境界说仍可商榷,多元化观点必须有个绝对性前提。词的最高境界要有真性情,是张力下的个人性格的坚持和绽放,且最后能超越个体生命的感受,进入到更为自由的世界。 相似文献
10.
Popularity bias is an undesirable phenomenon associated with recommendation algorithms where popular items tend to be suggested over long-tail ones, even if the latter would be of reasonable interest for individuals. Such intrinsic tendencies of the recommenders may lead to producing ranked lists, in which items are not equally covered along the popularity tail. Although some recent studies aim to detect such biases of traditional algorithms and treat their effects on recommendations, the concept of popularity bias remains elusive for group recommender systems. Therefore, in this study, we focus on investigating popularity bias from the view of group recommender systems, which aggregate individual preferences to achieve recommendations for groups of users. We analyze various state-of-the-art aggregation techniques utilized in group recommender systems regarding their bias towards popular items. To counteract possible popularity issues in group recommendations, we adapt a traditional re-ranking approach that weighs items inversely proportional to their popularity within a group. Also, we propose a novel popularity bias mitigation procedure that re-ranks items by incorporating their popularity level and estimated group ratings in two distinct strategies. The first one aims to penalize popular items during the aggregation process highly and avoids bias better, while the second one puts more emphasis on group ratings than popularity and achieves a more balanced performance regarding conflicting goals of mitigating bias and boosting accuracy. Experiments performed on four real-world benchmark datasets demonstrate that both strategies are more efficient than the adapted approach, and empowering aggregation techniques with one of these strategies significantly decreases their bias towards popular items while maintaining reasonable ranking accuracy. 相似文献