计算机科学与探索
計算機科學與探索
계산궤과학여탐색
JOURNAL OF FRONTIERS OF COMPUTER SCIENCE & TECHNOLOGY
2015年
5期
535-545
,共11页
群体行为%标签效用%效用飘移
群體行為%標籤效用%效用飄移
군체행위%표첨효용%효용표이
group behavior%tag efficacy%efficacy drift
为改善多分类标注时的无序标注问题,提出了一种适用于网络音乐标签动态排序的支持算法。基于点击标签和其他操作的日志数据计算分类标签效用度,以模糊数学理论为基础,提出了标签效用度量模型、效用度量算法与效用漂移度量算法。根据网络音乐的元数据结构属性,构建了音乐标签体系的层次结构模型;<br> 设计了一组能够表达分类标签效用的特征指标,并利用带有自适应特性的模糊数学理论计算标签效用度;在分类标签效用模型的基础上提出了长期和短期效用漂移的模型,并创新地用效用波动度指标来衡量长、短期效用的稳定性;在音乐平台案例实际数据的基础上进行了算法验证,表明了该算法的适用性。
為改善多分類標註時的無序標註問題,提齣瞭一種適用于網絡音樂標籤動態排序的支持算法。基于點擊標籤和其他操作的日誌數據計算分類標籤效用度,以模糊數學理論為基礎,提齣瞭標籤效用度量模型、效用度量算法與效用漂移度量算法。根據網絡音樂的元數據結構屬性,構建瞭音樂標籤體繫的層次結構模型;<br> 設計瞭一組能夠錶達分類標籤效用的特徵指標,併利用帶有自適應特性的模糊數學理論計算標籤效用度;在分類標籤效用模型的基礎上提齣瞭長期和短期效用漂移的模型,併創新地用效用波動度指標來衡量長、短期效用的穩定性;在音樂平檯案例實際數據的基礎上進行瞭算法驗證,錶明瞭該算法的適用性。
위개선다분류표주시적무서표주문제,제출료일충괄용우망락음악표첨동태배서적지지산법。기우점격표첨화기타조작적일지수거계산분류표첨효용도,이모호수학이론위기출,제출료표첨효용도량모형、효용도량산법여효용표이도량산법。근거망락음악적원수거결구속성,구건료음악표첨체계적층차결구모형;<br> 설계료일조능구표체분류표첨효용적특정지표,병이용대유자괄응특성적모호수학이론계산표첨효용도;재분류표첨효용모형적기출상제출료장기화단기효용표이적모형,병창신지용효용파동도지표래형량장、단기효용적은정성;재음악평태안례실제수거적기출상진행료산법험증,표명료해산법적괄용성。
To solve the disordered annotation problem occurred in classification mark, this paper proposes an algorithm supporting for dynamic ranking of Web music tag. The efficacy of classification tags is calculated based on the log of click tags and other operation data. On the basis of fuzzy mathematics, this paper introduces respectively the tag efficacy measurement model, efficacy metric algorithm and efficacy drift measurement algorithm. Firstly, this paper constructs a hierarchical structure model for music tag system according to the metadata attributes of Web music. Secondly, this paper designs a group of classification tag efficacy indexes, and computes the efficacy using the fuzzy mathematics theory with adaptive characteristics. Thirdly, this paper proposes the efficacy models of classifi-cation tag respectively on the long-term and short-term, and defines efficacy volatility index to measure the stability of long-term and short-term efficacy. Finally, this paper employs a case study of music platform based on practical data to verify the efficiency of the proposed algorithm and show its applicability.