scholarly journals IR of XML Documents – A Collective Ranking Strategy

2005 ◽  
pp. 113-126 ◽  
Author(s):  
Maha Salem ◽  
Alan Woodley ◽  
Shlomo Geva
Keyword(s):  
Xml Documents ◽  
Ranking Strategy ◽  
Collective Ranking

A bitmap-based access control for restricted views of XML documents

2003 ◽  
Author(s):  
Abhilash Gummadi ◽  
Jong P. Yoon ◽  
Biren Shah ◽  
Vijay Raghavan
Keyword(s):  
Access Control ◽  
Xml Documents

scholarly journals Diversity Balancing for Two-Stage Collaborative Filtering in Recommender Systems

2020 ◽  
Vol 10 (4) ◽  
pp. 1257 ◽  
Author(s):  
Liang Zhang ◽  
Quanshen Wei ◽  
Lei Zhang ◽  
Baojiao Wang ◽  
Wen-Hsien Ho
Keyword(s):  
Collaborative Filtering ◽  
Recommender Systems ◽  
Social Relationships ◽  
Two Stage ◽  
Proposed Model ◽  
The Social ◽  
Item List ◽  
Ranking Strategy ◽  
High Prediction ◽  
Optimization Mechanism

Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diversity of recommendations is as important as accuracy because it improves the customer experience by reducing monotony. However, increasing diversity reduces accuracy. Thus, a recommendation algorithm is needed to recommend less popular items while maintaining acceptable accuracy. This work proposes a two-stage collaborative filtering optimization mechanism that obtains a complete and diversified item list. The first stage of the model incorporates multiple interests to optimize neighbor selection. In addition to using conventional collaborative filtering to predict ratings by exploiting available ratings, the proposed model further considers the social relationships of the user. A novel ranking strategy is then used to rearrange the list of top-N items while maintaining accuracy by (1) rearranging the area controlled by the threshold and by (2) maximizing popularity while maintaining an acceptable reduction in accuracy. An extensive experimental evaluation performed in a real-world dataset confirmed that, for a given loss of accuracy, the proposed model achieves higher diversity compared to conventional approaches.

XML-GL: a graphical language for querying and restructuring XML documents

1999 ◽  
Vol 31 (11-16) ◽  
pp. 1171-1187 ◽  
Author(s):  
Stefano Ceri ◽  
Sara Comai ◽  
Ernesto Damiani ◽  
Piero Fraternali ◽  
Stefano Paraboschi ◽  
...  
Keyword(s):  
Graphical Language ◽  
Xml Documents

scholarly journals A Feature Ranking Strategy to Facilitate Multivariate Signal Classification

2010 ◽  
Vol 40 (1) ◽  
pp. 98-108 ◽  
Author(s):  
L. Gupta ◽  
S. Kota ◽  
S. Murali ◽  
D.L. Molfese ◽  
R. Vaidyanathan
Keyword(s):  
Signal Classification ◽  
Feature Ranking ◽  
Ranking Strategy
Sign in / Sign up

Export Citation Format

Share Document