Due to the increase of published Web Services (WSs), finding the suitable WS that satisfies the user goals among discovered WSs still needs deep investigations. Certainly, QoS requirements represent a more appropriate and decisive factor to distinguish similar WSs. A lot of research efforts in this direction have been made but are still limited due to the complexity and diversity of QoS constra...

Data retrieval finding relevant data from large databases — has become a serious problem as myriad databases have been brought online in the Web. For instance, querying the for-sale houses in Chicago from realtor.com returns thousands of matching houses. Similarly, querying ‘‘digital camera’’ in froogle.com returns hundreds of thousand of results. This data retrieval is essentially an online ra...

The problem of ranking arises ubiquitously in almost every aspect of life, and in particular in Machine Learning/Information Retrieval. A statistical model for ranking predicts how humans rank subsets V of some universe U . In this work we define a statistical model for ranking that satisfies certain desirable properties. The model automatically gives rise to a logistic regression based approac...

RESULTS: Patients undergoing implant-based reconstruction, subjected to the new protocol, demonstrated a decreased length of stay. Utilizing standardized surveys, improvements in pain control were demonstrated with a percentile ranking change from 88 to 99 percentile, pain management summary score improvement from 62 to 99 percentile, and improvement in pain control ranking from 27 to 99 percen...

Group consensus ranking is an important topic in performance evaluation and selection research. Data envelopment analysis (DEA) has been used for obtaining an efficiency score (preference score) for each candidate. We propose an integrated DEA and simulation method for group consensus ranking. The ranking method proposed in this study has several unique features. In contrast to most voting meth...

The problem of ranking arises ubiquitously in almost every aspect of life, and in particular in Machine Learning/Information Retrieval. A statistical model for ranking predicts how humans rank subsets V of some universe U . In this work we define a statistical model for ranking that satisfies certain desirable properties. The model automatically gives rise to a logistic regression based approac...

In this paper, we present a community answers ranking system which is based on Grice Maxims. In particular, we describe a ranking system which is based on answer relevancy scores, assigned by three main components: Named entity recognition, similarity score, and sentiment analysis.

RESULTS: Patients undergoing implant-based reconstruction, subjected to the new protocol, demonstrated a decreased length of stay. Utilizing standardized surveys, improvements in pain control were demonstrated with a percentile ranking change from 88 to 99 percentile, pain management summary score improvement from 62 to 99 percentile, and improvement in pain control ranking from 27 to 99 percen...

We presented a top-k algorithm to retrieve tuples according to the order provided by a non-necessarily monotone ranking funtion that belongs to a novel family of functions. The conditions imposed on the ranking functions are related to the values where the maximum score is achieved.

The paper presents two parameterized and customizable algorithms for matching and ranking Web services. Given a user query and a set of available Web services, the matching algorithm performs a logic-based semantic matchmaking to select services that functionally match the query and maintains those which fully verify the constraints specified by the user. The ranking algorithm takes as input th...