Time-aware and trend-based authority ranking

@mastersthesis{citeulike:675292, abstract = {This thesis devises time-aware and trend-based ranking techniques. The time-aware techniques exploit temporal information, present in networks like the World Wide Web, to produce rankings reflecting authority with regard to a temporal interest. The trendbased techniques produce rankings based on the relative change of authority with regard to a temporal interest. We describe mathematics behind the approaches and review efforts having related aims. On this basis, two time-aware and two trend-based methods are proposed. The time-aware methods extend PageRank and are defined incrementally. The trend-based methods are defined independently, one extending PageRank and the other based on a comparison of precomputed authority rankings. The methods were implemented in a prototype system using Java and extensively evaluated in a series of experiments on bibliographic and Web data. Results on the bibliographic data indicate that the methods produce meaningful rankings. Moreover, a user study, examining results obtained on Web data, gives strong evidence that the resulting rankings are preferred by the users and closer to their expectations.}, author = {Berberich, Klaus L. }, citeulike-article-id = {675292}, keywords = {information-retrieval, prodei, temporal, web}, month = {November}, posted-at = {2006-05-30 18:31:08}, priority = {5}, school = {Universit\"at des Saarlandes, Germany}, title = {Time-aware and trend-based authority ranking}, year = {2004} }

TY - THES ID - citeulike:675292 L3 - citeulike-article-id:675292 TI - Time-aware and trend-based authority ranking N2 - This thesis devises time-aware and trend-based ranking techniques. The time-aware techniques exploit temporal information, present in networks like the World Wide Web, to produce rankings reflecting authority with regard to a temporal interest. The trendbased techniques produce rankings based on the relative change of authority with regard to a temporal interest. We describe mathematics behind the approaches and review efforts having related aims. On this basis, two time-aware and two trend-based methods are proposed. The time-aware methods extend PageRank and are defined incrementally. The trend-based methods are defined independently, one extending PageRank and the other based on a comparison of precomputed authority rankings. The methods were implemented in a prototype system using Java and extensively evaluated in a series of experiments on bibliographic and Web data. Results on the bibliographic data indicate that the methods produce meaningful rankings. Moreover, a user study, examining results obtained on Web data, gives strong evidence that the resulting rankings are preferred by the users and closer to their expectations. KW - information-retrieval KW - prodei KW - temporal KW - web AU - Berberich, Klaus PY - 2004/11/01/ ER -