In most ranking systems for information retrieval, there are multiple signals that need to be combined to generate a single score for ranking a result. In this work we consider how the output score of various ranking systems can be combined to rank the TREC 2003 and 2004 benchmark datasets. Not surprisingly, we find that the performance of a combined system is able to achieve significantly bett...

System logs, such as the Windows Event log or the Linux system log, are an important resource for computer system management. We present a method for ranking system log messages by their estimated value to users, and generating a log view that displays the most important messages. The ranking process uses a dataset of system logs from many computer systems to score messages. For better scoring,...

The FRDC team participated in the IMine task of the NTCIR11, including subtopic mining and document ranking subtasks for Chinese language. In the subtopic mining subtask, we propose two methods to build the two-level hierarchy subtopics. Our methods gain high F-score and H-score respectively. In the document ranking subtask, we adopt various features for relevant webpage retrieval and document ...

Link Based approaches are among the most popular ranking approaches employed by search engines. They make use of the inherent linkage based structure of World Wide Web documents assigning each document an importance score. This importance score is based on the incoming links for a document; a document which is pointed to by many high quality documents should have a higher importance score. Goog...

Fair Queuing was invented to ensure that every flow gets its fair share of the total bandwidth. Efficient Fair Queuing Using Deficit Round-Robin, DRR, proposed by Shreedhar and Varghese [1], reduces the work to process each packet from O(log(n)) to O(1). DRR was also extended to accommodate latency-critical flows. DRR+ uses a timer to police each latency-critical flow, and was shown to have a l...

Nowadays social media are important tools for web resource discovery. The performance and capabilities of web searches are vital, especially search results from social research paper bookmarking. This paper proposes a new algorithm for ranking method that is a combination of similarity ranking with paper posted time or CSTRank. The paper posted time is static ranking for improving search result...

This paper describes our participation in the 2008 TREC Blog track. Our system consists of 3 components: data preprocessing, topic retrieval, and opinion finding. In the topic retrieval task, we applied Lemur IR toolkit and used various techniques for query expansion. In the opinion finding and polarization task, we employed a feature-based classification approach. Then re-ranking was performed...

This paper studies the incentive effects of a balanced scorecard within a multitask agency framework under both formal and relational contracts. First, the main characteristics of the balanced scorecard are analyzed with respect to performance measure congruity. It is shown that under complete verifiability, a properly designed balanced scorecard is capable of perfectly aligning the interests o...

With the explosive growth of information in the Web, users face difficulties while finding their desired information. Search engine helps the user by retrieving useful information from this huge collection based on his/her search query and presents a list of relevant web pages as a search result. However, without proper ranking of pages in the result through the relevancy of pages to the search...