Titlebook: String Processing and Information Retrieval; 18th International S Roberto Grossi,Fabrizio Sebastiani,Fabrizio Silves Conference proceedings

VEER

书目名称String Processing and Information Retrieval影响因子(影响力)




书目名称String Processing and Information Retrieval影响因子(影响力)学科排名




书目名称String Processing and Information Retrieval网络公开度




书目名称String Processing and Information Retrieval网络公开度学科排名




书目名称String Processing and Information Retrieval被引频次




书目名称String Processing and Information Retrieval被引频次学科排名




书目名称String Processing and Information Retrieval年度引用




书目名称String Processing and Information Retrieval年度引用学科排名




书目名称String Processing and Information Retrieval读者反馈




书目名称String Processing and Information Retrieval读者反馈学科排名

irradicable

A Learned Approach for Ranking News in Real-Time Using the Blogosphere,stories identification task. Our results show that, indeed, the blogosphere can be leveraged for the real-time ranking of news, including for unpredictable events. Our approach improves upon state-of-the-art story ranking approaches, outperforming both the best TREC 2009/2010 systems and its single best performing feature.

思想上升

Discounted Cumulative Gain and User Decision Models,ossible. Finally, we show that . can be interpreted as a measure of the utility a user gains per unit of effort she is ready to allocate. This contrasts nicely with a recent interpretation given to average precision (.), another popular Information Retrieval metric, as a measure of effort needed to achieve a unit of utility [7].

臭名昭著

未成熟

Constructing Strings at the Nano Scale via Staged Self-assembly,e use of multiple stages—operations performed by the experimenter, such as mixing two self-assembling systems together. This flexibility transforms the experimenter from a passive entity into a parallel algorithm, and vastly reduces the number of distinct parts required to construct a desired shape,

demote

exhibit

Vasodilation

贪婪地吃

Weighted Shortest Common Supersequence,nce. In this paper we consider applying the problem to .(PWM). The Position Weight Matrix was introduced as a tool to handle a set of sequences that are not identical, yet, have many local similarities. Such a weighted sequence is a ‘statistical image’ of this set where we are given the probability

Lipoma