CAJ | 학술논문

社交网络是一种无现实限制的全天候信息交互网络，社交网络的固定信息推荐是保证网络安全，评估网络用户信任度和实现隐私保护的基础。社交网络的固定信息具有多主体性和随机性特点，难以实现有效的信息推荐。传统的社交网络固定信息推荐算法采用主体协商的云信任数据推荐，对社交网络的非常态固定信息推荐的主观性较大，性能不好。提出一种基于模糊判定的社交网络中固定信息推荐算法。构建社交网络固定信息特征提取模型，采用网格划分技术对路由结点所在的平面区域进行特征划分，对固定信息进行模糊跟踪判定，得到社交网络中固定信息自适应跟踪概率分布，实现固定信息推荐算法改进。仿真实验表明，该算法能有效提高社交网络中固定信息推荐准确投递率。对节点缓存依赖性较弱，网络开销比较稳定，性能优越。
사교망락시일충무현실한제적전천후신식교호망락，사교망락적고정신식추천시보증망락안전，평고망락용호신임도화실현은사보호적기출。사교망락적고정신식구유다주체성화수궤성특점，난이실현유효적신식추천。전통적사교망락고정신식추천산법채용주체협상적운신임수거추천，대사교망락적비상태고정신식추천적주관성교대，성능불호。제출일충기우모호판정적사교망락중고정신식추천산법。구건사교망락고정신식특정제취모형，채용망격화분기술대로유결점소재적평면구역진행특정화분，대고정신식진행모호근종판정，득도사교망락중고정신식자괄응근종개솔분포，실현고정신식추천산법개진。방진실험표명，해산법능유효제고사교망락중고정신식추천준학투체솔。대절점완존의뢰성교약，망락개소비교은정，성능우월。
A social network is an all-weather information interaction network has no realistic restrictions, fixed information recommendation in social networks is to guarantee network security, user trust evaluation based on network degree and achieve privacy protection. Fixed information social network has more subjectivity and randomness characteristics, and it is difficult to achieve effective information recommendation. Cloud trust data of traditional social network information recommendation algorithm uses fixed agent negotiation recommendation on social networks difficult state fixed information recommendation is larger, the performance is not good. Put forward a kind of fixed information recommendation algorithm based on fuzzy decision in a social network. To build a social network of fixed information feature extraction model, the fixed information fuzzy tracking decision, get the stationary probability distribution information of adaptive tracking in a social network, the realization of fixed information recommendation algorithm improvement. Simulation results show that the algorithm can effectively improve the social network information recommendation and accurate delivery rate fixed. The nodes cache dependency is weak, the network overhead is relatively stable, it has superior performance.