Collaborative algorithms. Medical search. Frequent questions

The neighbourhood-based Collaborative Filtering is a widely used method in recommender systems. (arxiv.org)
One research area which has recently received considerable efforts is Collaborative Filtering. (arxiv.org)
Since, in essence, both are recommendation problems, this work uses Collaborative Filtering algorithms to select Collaborative Filtering algorithms. (arxiv.org)
Our approach integrates subsampling landmarkers, which are a data characterization approach commonly used in Metalearning, with a standard Collaborative Filtering method. (arxiv.org)
The experimental results show that CF4CF competes with standard Metalearning strategies in the problem of Collaborative Filtering algorithm selection. (arxiv.org)
Collaborative filtering suffers from the cold start problem . (github.com)
dblp: SWAMI: a framework for collaborative filtering algorithm development and evaluation. (dblp.org)
dblp: Search for 'Trust-based collaborative filtering algorithm in social network. (dblp.org)
A robust trust inference algorithm in weighted signed social networks based on collaborative filtering and agreement as a similarity metric. (dblp.org)
We propose a new generic model based on a client/server collaborative filtering algorithm and a behavior modeling process. (hal.science)
Collaborative Filtering Recommendation Algorithm Combining Clustering and User Preferences[J].Computer Science, 2017, 44(Z11): 391-396. (jsjkx.com)
Collaborative filtering (CF) shares information between users to provide each with recommendations. (biu.ac.il)
In the recommendation system, user cold start problem is the problems existing in the traditional collaborative filtering recommendation system. (ceaj.org)
Aiming at this problem, on the basis of collaborative filtering algorithm, a new hybrid collaborative filtering algorithm is proposed to alleviate cold start, when calculating the user similarity is introduced into the algorithm users trust mechanism and demographic information, comprehensive considering attribute similarity and trust of users. (ceaj.org)
Experiments show that the proposed algorithm can effectively alleviate the cold start problem of traditional collaborative filtering recommendation system. (ceaj.org)
Research on user cold start problem in hybrid collaborative filtering algorithm[J]. Computer Engineering and Applications, 2017, 53(21): 151-156. (ceaj.org)
Hybrid Collaborative Filtering Recommendation Algorithm Based on KNN-GBDT [J]. Computer Engineering and Applications, 2021, 57(9): 103-108. (ceaj.org)
Fast Nearest-Neighbor Searching Method for Collaborative Filtering [J]. Computer Engineering and Applications, 2021, 57(17): 96-105. (ceaj.org)
Collaborative Filtering Recommendation for Joint Attention and Autoencoder [J]. Computer Engineering and Applications, 2021, 57(10): 139-145. (ceaj.org)
Collaboration Filtering Recommendation Algorithm Based on User Interest and Ratings Difference [J]. Computer Engineering and Applications, 2020, 56(7): 24-29. (ceaj.org)
Collaborative Filtering Recommendation Algorithm Based on Clustering and User Preference [J]. Computer Engineering and Applications, 2020, 56(3): 68-73. (ceaj.org)
One of the most widely used recommendation methods is collaborative filtering that exploits the assumption that users who have agreed in the past in their ratings on observed items will eventually agree in the future. (unic.ac.cy)
Despite the success of recommendation methods and collaborative filtering in particular, in real-world applications they suffer from the insufficient number of available ratings, which significantly affects the accuracy of prediction. (unic.ac.cy)
In this paper, we propose recommendation approaches that follow the collaborative filtering reasoning and utilize the notion of lifestyle as an effective user characteristic that can group consumers in terms of their behavior as indicated in consumer behavior and marketing theory. (unic.ac.cy)
Collaborative filtering (CF) is a technique used by recommender systems. (wikipedia.org)
Collaborative filtering has two senses, a narrow one and a more general one. (wikipedia.org)
In the newer, narrower sense, collaborative filtering is a method of making automatic predictions (filtering) about the interests of a user by collecting preferences or taste information from many users (collaborating). (wikipedia.org)
The underlying assumption of the collaborative filtering approach is that if a person A has the same opinion as a person B on an issue, A is more likely to have B's opinion on a different issue than that of a randomly chosen person. (wikipedia.org)
For example, a collaborative filtering recommendation system for preferences in television programming could make predictions about which television show a user should like given a partial list of that user's tastes (likes or dislikes). (wikipedia.org)
In the more general sense, collaborative filtering is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. (wikipedia.org)
Applications of collaborative filtering typically involve very large data sets. (wikipedia.org)
The remainder of this discussion focuses on collaborative filtering for user data, although some of the methods and approaches may apply to the other major applications as well. (wikipedia.org)
Collaborative filtering is one of the techniques used for dealing with this problem. (wikipedia.org)
The motivation for collaborative filtering comes from the idea that people often get the best recommendations from someone with tastes similar to themselves. (wikipedia.org)
citation needed] Collaborative filtering encompasses techniques for matching people with similar interests and making recommendations on this basis. (wikipedia.org)
Collaborative filtering algorithms often require (1) users' active participation, (2) an easy way to represent users' interests, and (3) algorithms that are able to match people with similar interests. (wikipedia.org)
Typically, the workflow of a collaborative filtering system is: A user expresses his or her preferences by rating items (e.g. books, movies, or music recordings) of the system. (wikipedia.org)
With similar users, the system recommends items that the similar users have rated highly but not yet being rated by this user (presumably the absence of rating is often considered as the unfamiliarity of an item) A key problem of collaborative filtering is how to combine and weight the preferences of user neighbors. (wikipedia.org)
Collaborative filtering systems have many forms, but many common systems can be reduced to two steps: Look for users who share the same rating patterns with the active user (the user whom the prediction is for). (wikipedia.org)
Use the ratings from those like-minded users found in step 1 to calculate a prediction for the active user This falls under the category of user-based collaborative filtering. (wikipedia.org)
Alternatively, item-based collaborative filtering (users who bought x also bought y), proceeds in an item-centric manner: Build an item-item matrix determining relationships between pairs of items Infer the tastes of the current user by examining the matrix and matching that user's data See, for example, the Slope One item-based collaborative filtering family. (wikipedia.org)
Another form of collaborative filtering can be based on implicit observations of normal user behavior (as opposed to the artificial behavior imposed by a rating task). (wikipedia.org)
We create the library recommendation system using Apriori algorithm and Collaborative Filtering (CF). Apriori algorithm produces the association rules which can be applied for large database. (amrita.edu)
Collaborative filtering Algorithm is used to recommend the books of similar user profiles. (amrita.edu)
We apply a Bayesian model which combines collaborative filtering with a feature-based description of tasks and experts to yield a general framework for managing a portfolio of experts. (aaai.org)

In this paper, an improved genetic algorithm for building selection is designed to be able to incorporate cartographic constraints related to the building selection problem. (mdpi.com)

Forecasting Supply Chain Demand Using Machine Learning Algorithms. (igi-global.com)
In ongoing collaborative studies with the Faculty of Engineering LTH, we are developing digital technologies and machine learning algorithms enabling translational studies of movement abnormalities in basal ganglia disease. (lu.se)

The College of Computing is one of the sponsors of the multidisciplinary program in Algorithms, Combinatorics & Optimization (ACO), an approved doctoral degree program at Georgia Tech. The other sponsoring units are the School of Industrial and Systems Engineering and the School of Mathematics. (gatech.edu)
The study of discrete structures is a rapidly growing area in computer science, applied mathematics, and operations research, most obviously in the analysis of algorithms, combinatorics, and discrete optimization. (gatech.edu)

At the heart of the system lies a predictive stochastic scheduling algorithm that minimizes the expected non-picking time, thus maximizing the harvest efficiency. (cdc.gov)

Slope One Algorithm Based on Grey Correlational Analysis by Method of Degree of Balance and Approach [J]. Computer Engineering and Applications, 2021, 57(9): 96-102. (ceaj.org)
Knowledge Graph-Assisted Multi-task Feature-Based Course Recommendation Algorithm [J]. Computer Engineering and Applications, 2021, 57(21): 132-139. (ceaj.org)
Social Recommendation Algorithm by Fusing Item Information [J]. Computer Engineering and Applications, 2021, 57(19): 198-204. (ceaj.org)
Fusion Knowledge Graph and Bilinear Graph Attention Network Recommendation Algorithm [J]. Computer Engineering and Applications, 2021, 57(1): 29-37. (ceaj.org)

Most previously developed approaches to produce collaborative robot behaviors, on the other hand, are designed for robots that know their own position. (techxplore.com)
The new hierarchical gene regulatory network (H-GRN) developed by this team of researchers has several advantages over other existing methods for producing collaborative behaviors in robots. (techxplore.com)
The study of interface and safety communication features of robots with collaborative functions, powered exoskeletons (i.e. wearable robots), service robots, and other interactive robots that may cause human injuries from sources such as unintended contact, collision, vibration, and overexertion. (cdc.gov)
A strawberry harvest-aiding system with crop-transport collaborative robots: design, development, and field evaluation. (cdc.gov)
A step toward increasing harvest automation for such crops is to deploy harvest-aid collaborative robots (co-bots) that transport empty and full trays, thus increasing harvest efficiency by reducing pickers' non-productive walking times. (cdc.gov)
and (3) collaborative robots. (cdc.gov)
With the availability of relatively inexpensive collaborative robots capable of working in direct contact with people, we are now entering the third robot wave where robotic workers operate alongside human workers and symbiotic workers, i.e., human workers equipped with performance-enhancing robotic devices such as robotic exoskeletons and other capacity-enhancing prostheses. (cdc.gov)

Automatizing the support count estimation in Apriori algorithm can be done to improve the efficiency of the system as a future work. (amrita.edu)
With experimental results we show, that Mop is faster than the Apriori or any other algorithm concerning scalable theory. (thescipub.com)

3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023. (cornell.edu)

Influencers are gaming Instagram's algorithm to boost visibility in the platform's Explore tab by partnering with fellow influencers and participating in pods, according to Digiday . (marketingdive.com)
This happens when influencers join with up to 30 others - the maximum number of Instagram users allowed in a pod - and comment on each other's posts at least daily to increase engagement analytics for each pod member and cause the platform's algorithm to favor them and display their content to more users on the platform. (marketingdive.com)
Marketers should consider that this space still has no established standards or dedicated watchdog, and what might look like an engaged audience could simply be a group of influencers hoping to elevate their visibility by gaming a platform's algorithm. (marketingdive.com)
We found participants wrestled with bureaucracy as multiple obstructions in re-examining moderation decisions, coercion to appease different algorithms in creator moderation, and the platform's indifference to participants' labor. (researchgate.net)

My research focuses on algorithms and networks, the roles they play in large-scale social and information systems, and their broader societal implications. (cornell.edu)
The collaborative research relationship between Lawrence Livermore National Laboratory and The University of Toledo will bring cutting-edge facilities, technology and among the sharpest minds in our nation to our doorstep in Northwest Ohio," Kaptur said. (hpcwire.com)
The prototype showed me that algorithms can't solve the behavioural problems journalists have, so I realized I needed to research deeper. (medium.com)
This research includes evaluating the impact of changes in workers' attitudes, trust, and perceived safety resulting from various aspects of human-robot interaction such as long-term collaborative relationships. (cdc.gov)
A new collaborative pooled analysis led by researchers from the International Agency for Research on Cancer (IARC) provides evidence on how cervical cancer screening programmes could contribute to the prevention of anal cancer in women. (who.int)
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. (lu.se)

Emanating from a basic lifestyle-based recommendation algorithm we incrementally proceed to the development of hybrid recommendation approaches that address certain dimensions of the sparsity problem and empirically evaluate them providing further evidence of their effectiveness. (unic.ac.cy)
This is a significant initiative that features not only theoretical algorithm development but also practical chemical applications deployment," said Parrish. (prnewswire.com)
Machine learning is a subfield of artificial intelligence that involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. (geeksforgeeks.org)
and (5) the development of new tools and diagnostic algorithms to improve the diagnosis of smear-negative TB in adults and children. (cdc.gov)
6. Scaling of QC algorithms with respect to the future development of hardware. (lu.se)

At the same time, this algorithm improves the neighbor selection of users. (ceaj.org)
Collaborative clustering implementing on several subsets can be processed by one objective function, which improves the clustering performance by sharing partition matrices among different subsets. (eduhk.hk)
Experimental results show that collaboration among agents improves performance compared to non-collaborative solutions and that increasing the number of agents does not always guarantee better performance. (iospress.com)

Maybe because women manage their egos better, perhaps because their traditional roles required them to make everybody collaborate, they usually keep this collaborative attitude also in their workplaces. (medium.com)

The DrapeBot project aims at human-robot collaborative draping. (aau.dk)

Researchers at the University of Surrey have recently developed self-organizing algorithms inspired by biological morphogenesis that can generate formations for multi-robot teams, adapting to the environment they are moving in. (techxplore.com)
The study of safe, intuitive, and useful robot technologies and engineering features of collaborative and co-existing robot systems for hazard exposure assessments, field inspections, and incident investigations. (cdc.gov)

We present the results of an evaluation study comparing traditional, manual surveillance methods to alternative methods with available clinical electronic data and computer algorithms to identify bloodstream infections. (cdc.gov)
A secondary goal that should be sought by a bioinformatics facility is to make algorithms and analysis methods accessible for non-computational biologists. (lu.se)

Review on Recommender Algorithms Based on Distributed Representation Technology [J]. Computer Engineering and Applications, 2020, 56(22): 13-24. (ceaj.org)
2: What are some real-life applications of clustering algorithms? (geeksforgeeks.org)
sponsoring of algorithm knowledge, database building for specific applications, some computer related acquisitions such as software and databases. (lu.se)

We apply the model to manage a portfolio of algorithms to solve hard combinatorial problems. (aaai.org)

In this paper an improved algorithm of collaborative competitive kernel clustering analysis (CCKCA) is proposed, in which the mechanism of collaboration is introduced into competitive kernel clustering. (eduhk.hk)
We propose a novel solution, an organizational platform, an algorithm for the analysis of agents, which we call Mop. (thescipub.com)

Existing work includes several approaches using Metalearning, which relate the characteristics of datasets with the performance of the algorithms. (arxiv.org)

Armando Tacchella Collaborative Expert Portfolio Management Proceedings of the AAAI Conference on Artificial Intelligence, 24 (2010) 179. (aaai.org)

JGraphT -- A Java Library for Graph Data Structures and Algorithms. (crossref.org)

In Dutch society, more and more decisions are being made by automated systems that use algorithms. (cbs.nl)

Automatic solutions which enable the selection of the best algorithms for a new problem are commonly found in the literature. (arxiv.org)
The purpose of a bioinformatics platform within SWEGENE is to provide computational facilities and logistical support [databases, algorithms & infrastructure] for problem oriented scientists in an optimal way. (lu.se)

For that, we carried out analytical and experimental estimation of the lower and the upper bounds of the average search time and average induced network flow of each proposed algorithm. (iospress.com)

These algorithms will run on quantum computers and could dramatically improve the accuracy of photochemical simulations used to design new chemicals and materials. (prnewswire.com)
We create and improve algorithms and software for correcting and analysing spectroscopic data. (lu.se)

therefore, the algorithms can be applied to clinical data from the previous day. (cdc.gov)

Collaborative work among the three traditionally separate disciplines is already common. (gatech.edu)
Robert Parrish , Head of Simulations at QC Ware, leads the project's quantum algorithms work. (prnewswire.com)

Algorithm Design. (cornell.edu)

By using the Elbow method we decide an optimal number of clusters that our clustering algorithm must try to form. (geeksforgeeks.org)

But after an optimal number of features, the decrease in the error value is insignificant so, at the point after which this starts to happen, we choose that point as the optimal number of clusters that the algorithm will try to form. (geeksforgeeks.org)

This paper presents a hierarchical ML-kNN algorithm. (atlantis-press.com)

given platformization of content creators, video sharing platforms like YouTube and TikTok practice creator moderation, i.e., an assemblage of algorithms that manage not only creators' content but also their income, visibility, identities, and more. (researchgate.net)

Its high level of expertise in quantum algorithms for chemical simulations is being harnessed to develop hybrid classical-quantum algorithms. (prnewswire.com)

QC Ware is the only quantum software company included in the collaborative project. (prnewswire.com)
The DoE grant to the collaborative project led by SLAC reinforces QC Ware's leadership in developing groundbreaking methodologies and quantum algorithms for chemical simulations," said Matt Johnson , CEO, QC Ware. (prnewswire.com)
We were taking a class organized by the Stanford Journalism Program, the JSK Fellowships and the Brown Institute for Media Innovation (Stanford/ Columbia University), and this project itself taught me my first lesson about collaborative journalism. (medium.com)

and computer algorithms and manual CVC determination. (cdc.gov)
The κ value was 0.37 for infection control review, 0.48 for positive blood culture plus manual CVC determination, 0.49 for computer algorithm, and 0.73 for computer algorithm plus manual CVC determination. (cdc.gov)
Unit-specific infection rates, per 1,000 patient days, were 1.0-12.5 by investigator review and 1.4-10.2 by computer algorithm (correlation r = 0.91, p = 0.004). (cdc.gov)

Chemicals and Drugs2

Analytical, Diagnostic and Therapeutic Techniques and Equipment49

Phenomena and Processes18

Disciplines and Occupations4

Technology, Industry, Agriculture1

Humanities1

Information Science44

Health Care17

Filtering45

Genetic Algorithm1

Machine Learning Algorithms2

Combinatorics2

Predictive1

20214

Robots7

Apriori2

Optimization1

Platform's4

Research6

Development5

Improves3

Collaborate1

Human-robot1

Robot2

Methods2

Applications3

Solve1

Analysis2

Approaches1

Artificial intelligence1

Graph1

Systems1

Problem2

Search1

Improve2

Data1

Work2

Design1

Method1

Optimal1

Paper1

Content1

Hybrid1

Project3

Computer3