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Related papers: Enriching a CP-Net by Asymmetric Merging

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Heterogeneous Information Networks (HIN) has been widely used in recommender systems (RSs). In previous HIN-based RSs, meta-path is used to compute the similarity between users and items. However, existing meta-path based methods only…

Social and Information Networks · Computer Science 2019-08-27 Huan Zhao , Yingqi Zhou , Yangqiu Song , Dik Lun Lee

A symmetric matrix $C$ is completely positive (CP) if there exists an entrywise nonnegative matrix $B$ such that $C=BB^T$. The CP-completion problem is to study whether we can assign values to the missing entries of a partial matrix (i.e.,…

Optimization and Control · Mathematics 2013-11-21 Anwa Zhou , Jinyan Fan

To mitigate the attacks by malicious peers and to motivate the peers to share the resources in peer-to-peer networks, several reputation systems have been proposed in the past. In most of them, the peers evaluate other peers based on their…

Networking and Internet Architecture · Computer Science 2016-01-08 Sateesh Kumar Awasthi , Yatindra Nath Singh

Model merging is an effective strategy to merge multiple models for enhancing model performances, and more efficient than ensemble learning as it will not introduce extra computation into inference. However, limited research explores if the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Hu Wang , Ibrahim Almakky , Congbo Ma , Numan Saeed , Mohammad Yaqub

Multicriteria Decision Making problems are important both for individuals and groups. Pairwise comparisons have become popular in the theory and practice of preference modelling and quantification. We focus on decision problems where the…

Discrete Mathematics · Computer Science 2025-09-04 Sándor Bozóki , Zsombor Szádoczki , Hailemariam Abebe Tekile

In recent years, there has been an increasing recognition that when machine learning (ML) algorithms are used to automate decisions, they may mistreat individuals or groups, with legal, ethical, or economic implications. Recommender systems…

Artificial Intelligence · Computer Science 2024-02-02 Hossein A. Rahmani , Mohammadmehdi Naghiaei , Yashar Deldjoo

Recommender systems play a critical role in enhancing user experience by providing personalized suggestions based on user preferences. Traditional approaches often rely on explicit numerical ratings or assume access to fully ranked lists of…

Information Retrieval · Computer Science 2025-08-22 Bahar Boroomand , James R. Wright

Obtaining object response maps is one important step to achieve weakly-supervised semantic segmentation using image-level labels. However, existing methods rely on the classification task, which could result in a response map only attending…

Computer Vision and Pattern Recognition · Computer Science 2020-08-05 Yu-Ting Chang , Qiaosong Wang , Wei-Chih Hung , Robinson Piramuthu , Yi-Hsuan Tsai , Ming-Hsuan Yang

In this paper, we introduce the Selective Image Guided Network (SigNet), a novel degradation-aware framework that transforms depth completion into depth enhancement for the first time. Moving beyond direct completion using convolutional…

Computer Vision and Pattern Recognition · Computer Science 2025-03-10 Zhiqiang Yan , Zhengxue Wang , Kun Wang , Jun Li , Jian Yang

Learning the distance metric between pairs of samples has been studied for image retrieval and clustering. With the remarkable success of pair-based metric learning losses, recent works have proposed the use of generated synthetic points on…

Computer Vision and Pattern Recognition · Computer Science 2020-04-24 Byungsoo Ko , Geonmo Gu

We investigate approval-based committee voting with incomplete information about the approval preferences of voters. We consider several models of incompleteness where each voter partitions the set of candidates into approved, disapproved,…

Computer Science and Game Theory · Computer Science 2024-08-21 Aviram Imber , Jonas Israel , Markus Brill , Benny Kimelfeld

We study the manipulability of social choice correspondences in situations where individuals have incomplete information about others' preferences. We propose a general concept of manipulability that depends on the extension rule used to…

Theoretical Economics · Economics 2025-12-16 Raffaele Berzi , Daniela Bubboloni , Michele Gori

In this paper, we study the problem of evaluating the addition of elements to a set. This problem is difficult, because it can, in the general case, not be reduced to unconditional preferences between the choices. Therefore, we model…

Artificial Intelligence · Computer Science 2022-04-27 Timo Bertram , Johannes Fürnkranz , Martin Müller

We propose here two new recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between…

Physics and Society · Physics 2014-12-12 A. Fiasconaro , M. Tumminello , V. Nicosia , V. Latora , R. N. Mantegna

Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candidate selection is the…

Computation and Language · Computer Science 2020-09-23 Mariona Coll Ardanuy , Kasra Hosseini , Katherine McDonough , Amrey Krause , Daniel van Strien , Federico Nanni

From a machine learning point of view, identifying a subset of relevant features from a real data set can be useful to improve the results achieved by classification methods and to reduce their time and space complexity. To achieve this…

Machine Learning · Computer Science 2017-05-23 Pietro Cassara , Alessandro Rozza , Mirco Nanni

In quantum networks multipath entanglement purification (MEP) between a pair of source-destination nodes can substantially strengthen their entanglement connection. An efficient MEP strategy can therefore increase the size of the network…

Quantum Physics · Physics 2024-08-28 Md Sohel Mondal , Siddhartha Santra

The many metrics employed for the evaluation of search engine results have not themselves been conclusively evaluated. We propose a new measure for a metric's ability to identify user preference of result lists. Using this measure, we…

Information Retrieval · Computer Science 2011-03-16 Pavel Sirotkin

To maintain fairness, in the terms of resources shared by an individual peer, a proper incentive policy is required in a peer to peer network. This letter proposes, a simpler mechanism to rank the peers based on their resource contributions…

Networking and Internet Architecture · Computer Science 2016-06-03 Sateesh Kumar Awasthi , Yatindra Nath Singh

With the advent of the information explosion era, the importance of recommendation systems in various applications is increasingly significant. Traditional collaborative filtering algorithms are widely used due to their effectiveness in…

Artificial Intelligence · Computer Science 2024-12-30 Xueting Lin , Zhan Cheng , Longfei Yun , Qingyi Lu , Yuanshuai Luo