[HTML][HTML] The complexity of exact learning of acyclic conditional preference networks from swap examples
Learning of user preferences, as represented by, for example, Conditional Preference
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
[PDF][PDF] Learning tree-structured CP-nets with local search
Conditional preference networks (CP-nets) are an intuitive and expressive representation for
qualitative preferences. Such models must somehow be acquired. Psychologists argue that …
qualitative preferences. Such models must somehow be acquired. Psychologists argue that …
CP-nets-based user preference learning in automated negotiation through completion and correction
J Cai, J Zhan, Y Jiang - Knowledge and Information Systems, 2023 - Springer
User preference learning is an important process in automated negotiation, because only
when the negotiating agents are able to fully grasp the user preference information can the …
when the negotiating agents are able to fully grasp the user preference information can the …
On Learning Probabilistic Partial Lexicographic Preference Trees
X Liu - 2021 20th IEEE International Conference on Machine …, 2021 - ieeexplore.ieee.org
Proposed by Liu and Truszczynski [1], partial lex-icographic preference trees, PLP-trees, for
short, are intuitive and predictive data structures used to model qualitative user preferences …
short, are intuitive and predictive data structures used to model qualitative user preferences …
[BOOK][B] Conditional Preference Networks: Constraints and Similarity
HA Alkhiri - 2022 - search.proquest.com
Conditional preference networks (CP-nets) are increasingly becoming popular in
representing ordinal preference relations in an efficient manner. However, one of the main …
representing ordinal preference relations in an efficient manner. However, one of the main …
[BOOK][B] Summarizing Conditional Preference Networks
AMH Ali - 2019 - search.proquest.com
Preference modeling has been studied extensively in the literature, and hasapplications in
recommender systems and automated decision-making. Theeventual objective of working …
recommender systems and automated decision-making. Theeventual objective of working …
An interactive system for capturing users' qualitative preferences in recommender systems
K Dave - 2022 - search.proquest.com
There are many different recommender systems available in this technological era, each
with its own set of features and distinct selling points. We propose a new interactive system …
with its own set of features and distinct selling points. We propose a new interactive system …
The Complexity of Learning Acyclic Conditional Preference Networks
Learning of user preferences, as represented by, for example, Conditional Preference
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
[PDF][PDF] Interactive Learning of Acyclic Conditional Preference Networks
Learning of user preferences, as represented by, for example, Conditional Preference
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
Networks (CP-nets), has become a core issue in AI research. Recent studies investigate …
Learning Conditional Preference Networks from Optimal Choices
C Siler - 2017 - uknowledge.uky.edu
Conditional preference networks (CP-nets) model user preferences over objects described
in terms of values assigned to discrete features, where the preference for one feature may …
in terms of values assigned to discrete features, where the preference for one feature may …