Embedding-based News Recommendation for Millions of …

It is necessary to understand the content of articles and user preferences to make effective news recommendations. While ID-based methods, such as collaborative filtering and low-rank factorization, are well known for making recommendations, they are not suitable for news recommendations because candidate articles expire quickly and are replaced with new …

Neu-PCM: Neural-based potential correlation mining for POI recommendation

Hence, in this paper, we propose a deep POI recommendation model that focus on mining the potential correlations between users and locations. Our model is called Neu-PCM that is neural-based potential correlation mining for POI recommendation, and its purpose is the predicted probability of user visiting a candidate location.

Biden-Harris Administration Report Outlines …

Date: Tuesday, September 12, 2023 Contact: [email protected] WASHINGTON — The Biden-Harris administration's Department of the Interior-led Interagency Working Group on Mining Laws, Regulations, and Permitting …

Attachment 3 Summary of Recommendations to …

116. Create a mining and mine permitting presentation guide to improve public understanding of mining and the mine approval process. ⃝. 117. Develop a user-friendly website that enables the public to easily see and identify all proposed, operating, reclaimed, and unreclaimed mineral exploration and production operations in a given area.

Mining GPS Data for Trajectory Recommendation

Download Citation | Mining GPS Data for Trajectory Recommendation | The wide use of GPS sensors in smart phones encourages people to record their personal trajectories and share them with others ...

Tour recommendation for groups | Data Mining and …

Amer-Yahia S, Roy SB, Chawlat A, Das G, Yu C (2009) Group recommendation: semantics and efficiency. Proc VLDB Endow 2(1):754-765. Digital Library. ... Mascolo C (2012) Mining user mobility features for next place prediction in location-based services. In: Proceedings of the 2012 IEEE 12th international conference on data mining, ICDM '12. ...

Personalized APIs Recommendation With Cognitive Knowledge Mining …

This article proposes a holistic personalized recommendation framework that contains two individual models and one ensemble model, which are based on joint matrix factorization and cognitive knowledge mining and achieves the best performance. With the prevalence of web techniques and Internet-of-Things networks, an increasing number of developers build …

Developing best environmental practice for …

The paper describes the currently envisaged mining process for manganese nodules and its expected effects on the environment and extracts specific recommendations on how to minimise environmental ...

Recommendation of Influenced Products Using Association Rule Mining

Recommendation systems are now inherent for many business applications to take important business decisions. These systems are built based on the historical data that may be the sales data or customer feedback etc. Customer feedback is very important for any organization as it reflects the view, sentiment of the customers. Online systems allow …

How to Advance Sustainable Mining | International Institute …

Regulating these activities mainly depends on national frameworks and policies, but implementing good practices remains problematic. To truly shift to "sustainable mining," governments and companies must recognize the social impacts of mining, and enact laws and regulations that require community consultation throughout the life of a mine.

A many-objective optimization recommendation algorithm …

In order to make the recommendations generated by the proposed recommendation model perform as well as possible on multiple objectives, the many-objective optimization recommendation algorithm with knowledge mining, termed as NSGAIII-GBFE-RS, for this recommendation model is proposed.

Deconfounded Recommendation for Alleviating Bias …

Recommender systems usually amplify the biases in the data. The model learned from historical interactions with imbalanced item distribution will amplify the imbalance by over-recommending items from the major groups. Addressing this issue is essential for a healthy ecosystem of recommendation in the long run. Existing works apply bias control to the …

Mining's top ten ESG trends for 2024

A range of sustainability and ESG forces will shape the business of mining in 2024, building on the trends of 2023, a year characterized by a surge in investor scrutiny, regulatory action, and a ...

Mining GPS Data for Trajectory Recommendation

The GPS trace data is a new format of information and few works focus on building user preference profiles on it. In this work we proposed a trajectory recommendation framework and developed three recommendation methods, namely, Activity-Based Recommendation (ABR), GPS-Based Recommendation (GBR) and Hybrid Recommendation.

Mining Stack Overflow for API class recommendation using DOC2VEC and

External validity: The proposed approach could be adapted for other programming languages apart from Java by mining the corresponding SO posts and changing the heuristic rules to cater for the syntax and API classes of the targeted programming language. 6 RELATED WORK 6.1 Related work on mining SO for API recommendation

Feature recommendation for structural equation model …

Process mining techniques can help organizations to improve their operational processes. Organizations can benefit from process mining techniques in finding and amending the root causes of performance or compliance problems. Considering the volume of the data and the number of features captured by the information system of today's companies, the task of …

A Text Mining based Method for Policy Recommendation

Request PDF | On Sep 1, 2021, Tong Zhang and others published A Text Mining based Method for Policy Recommendation | Find, read and cite all the research you need on ResearchGate

7 Synthesis of Recommendations | Mining Safety and …

The committee recognizes the Mining Program's positive role in providing new technologies for a safer mining environment and new training materials for the mining industry. The recommendations in this report are offered with the expectation that they will help the program refocus or redirect some of its efforts to more effectively impact the ...

A Survey of Recommendation Systems: Recommendation …

This paper reviews the research trends that link the advanced technical aspects of recommendation systems that are used in various service areas and the business aspects of these services. First, for a reliable analysis of recommendation models for recommendation systems, data mining technology, and related research by application service, more than 135 …

Mining navigation history for recommendation

A system which actively monitors and tracks a user's navigation and applies data mining techniques to discover the hidden knowledge contained in the history, which is then used to suggest potentially interesting web pages to users. Although a user's navigation history contains a lot of hidden information about the relationship between web pages and between …

Tailored Recommendations Through Data Mining for …

sequential pattern mining algorithm, LIT-PrefixSpan, which contains three kinds of information: tourist location, play item and play time, to solve the problem of theme park play route mining and recommendation.The personalized recommendation system can accurately recommend or predict potential interactive items for users.

High-order spatial connectivity mining over neural graph …

Point-of-Interest (POI) recommendation using preference mining based on spatial data ascertained through Location-based Social Networks (LBSNs) is a critical personalized recommendation task. An efficient recommendation system requires an enhanced representation of users' preferences. We propose High-order Spatial Connectivity Minning an …

Combining similarity and sentiment in opinion mining for …

In the world of recommender systems, so-called content-based methods are an important approach that rely on the availability of detailed product or item descriptions to drive the recommendation process. For example, recommendations can be generated for a target user by selecting unseen products that are similar to the products that the target user has liked or …

Realtime Data Mining: Self-Learning Techniques …

Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and …

Making critical minerals work for sustainability, growth, and …

Embracing a standards-based approach to mining should ensure favourable development outcomes through responsible and sustainable mining and enable the formation of resilient …

(PDF) Course Recommendation System for Students Using …

Course Recommendation System for Students Using K-Means and Association Rule Mining. October 2022; ... Though many recommendation systems are available to recommend products, it is a big problem ...

Biden Administration Working Group Recommendations …

Washington, D.C. — The Biden administration's Interagency Working Group released recommendations today to update hardrock mining laws and regulations.Tribes …

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation

The sparse interactions between users and items have aggravated the difficulty of their representations in recommender systems. Existing methods leverage tags to alleviate the sparsity problem but ignore prevalent logical relations among items and tags (e.g., membership, hierarchy, and exclusion), which can be leveraged to enhance the accuracy of modeling user …

5 Ways to Make Mining More Sustainable

Mobile healthcare data mining for sport item recommendation …

The matrix S is the evaluation basis of our proposed data mining and recommendation approach and the density of matrix S is an important factor that influences the recommendation performances. Inspired by this observation, we validate the relationship between prediction accuracy (in the form of MAE) with respect to the density of matrix S, and ...