Many research paper recommendation approaches have been proposed and implemented which include collaborative filtering, content-based, metadata, link-based and multi-level citation network. In this research, a novel Research paper Recommendation system is proposed by integrating Multiple Features (RRMF). ...
User Profile Based Personalized Research Paper Recommendation System Using Top-K QueryResearchers spent lots of time in searching published articles relevant to their project. Though having similar interest in projects researches perform ... Sheetal D. Patil,MB Ansari 被引量: 0发表: 2015年 Perceptual...
While this method can be very effective in a few cases, it does not ensure complete coverage of all the papers related to research and recommendations. Articles written after the possessed paper cannot be tracked. Furthermore, the list of sources may not be publicly accessible; hence, it may...
又相同经历的虫虫说说啊！
Recommendation for Key Management — Part 1: General This Recommendation provides cryptographic key management guidance. It consists of three parts. Part 1 provides general guidance and best practices for the... E Barker,W Barker,W Burr,... - http://csrc.nist.gov/publications/nistpubs/800-57...
We estimate the diagonal part of the Green’s function for the equation (−Δ/2+V(x)+∂/∂t)ψ(x, t) = 0, t≳0, x∊ B, where B is a finite region... MVD Berg - 《Journal of Mathematical Physics》 被引量: 15发表: 1981年 Curvature of fluctuation geometry and its imp...
Directions: In this part, there are four items which you should translate into Chinese, each item consisting of one sentence. These sentences are all taken from the reading passages you have just read in Part III of the Test Paper. You are allowed minutes to do the translation. You can re...
We include a residual per parsable file to capture the changes to code that is not part of a function (e.g., global variable declarations). Thus artifacts in our change history are either a function (or the residual) for parsable source code, or entire files otherwise (e.g., for ...
Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 329)) 1634 Accesses Abstract Current recommender systems are mainly based on customers’ personal information and online behavior. We find that those systems lack efficiency and accuracy. At the same time, we ob...
This is the official implementation of our WWW'21 paper: Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Depeng Jin, Yong Li, Disentangling User Interest and Conformity for Recommendation with Causal Embedding, In Proceedings of the Web Conference 2021. Model training First unzip the datasets and ...