Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …
Fuzzy decision by opinion score method
Multicriteria decision making (MCDM) methods have been utilised to solve discrete
problems in broad domains. Existing MCDM methods have been developed on the basis of …
problems in broad domains. Existing MCDM methods have been developed on the basis of …
Analysis of ranking data
Ranking is one of the simple and efficient data collection techniques to understand
individuals' perception and preferences for some items such as products, people, and …
individuals' perception and preferences for some items such as products, people, and …
Is rank aggregation effective in recommender systems? an experimental analysis
Recommender Systems are tools designed to help users find relevant information from the
myriad of content available online. They work by actively suggesting items that are relevant …
myriad of content available online. They work by actively suggesting items that are relevant …
Preference relation based collaborative filtering with graph aggregation for group recommender system
Most of the group recommender systems (GRS) apply some aggregation strategy to the
ratings given by the group members for generating recommendations. But this can be highly …
ratings given by the group members for generating recommendations. But this can be highly …
A learning theory of ranking aggregation
A Korba, S Clémençon… - Artificial intelligence and …, 2017 - proceedings.mlr.press
Abstract Originally formulated in Social Choice theory, Ranking Aggregation, also referred to
as Consensus Ranking, has motivated the development of numerous statistical models …
as Consensus Ranking, has motivated the development of numerous statistical models …
A new binary programming formulation and social choice property for Kemeny rank aggregation
Rank aggregation is widely used in group decision making and many other applications,
where it is of interest to consolidate heterogeneous ordered lists. Oftentimes, these rankings …
where it is of interest to consolidate heterogeneous ordered lists. Oftentimes, these rankings …
Rank aggregation methods dealing with ordinal uncertain preferences
The problem of rank aggregation, also known as group-ranking, arises in many fields such
as metasearch engines, information retrieval, recommendation systems and multicriteria …
as metasearch engines, information retrieval, recommendation systems and multicriteria …
RETRACTED ARTICLE: Efficiently harvesting deep web interfaces based on adaptive learning using two-phase data crawler framework
MR Murugudu, LSS Reddy - Soft computing, 2023 - Springer
Enhanced richness and size of the data on the web paves the path for increased online
services, supporting the sophisticated usage of heterogeneous complex tasks by users. As …
services, supporting the sophisticated usage of heterogeneous complex tasks by users. As …
An unsupervised distance-based model for weighted rank aggregation with list pruning
Combining multiple ranked lists of items, called voters, into a single consensus list is a
popular problem with significant implications in numerous areas, including Bioinformatics …
popular problem with significant implications in numerous areas, including Bioinformatics …