Content based document recommender using deep learning

机译：使用深度学习的基于内容的文档推荐器

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摘要

With the recent advancements in information technology there has been a huge surge in amount of data available. But information retrieval technology has not been able to keep up with this pace of information generation resulting in over spending of time for retrieving relevant information. Even though systems exist for assisting users to search a database along with filtering and recommending relevant information, but recommendation system which uses content of documents for recommendation still have a long way to mature. Here we present a Deep Learning based supervised approach to recommend similar documents based on the similarity of content. We combine the C-DSSM model with Word2Vec distributed representations of words to create a novel model to classify a document pair as relevant/irrelavant by assigning a score to it. Using our model retrieval of documents can be done in O(1) time and the memory complexity is O(n), where n is number of documents.

机译：随着信息技术的最新发展，可用数据量激增。但是，信息检索技术无法跟上这种信息生成的步伐，导致检索相关信息的时间过长。尽管存在协助用户搜索数据库以及过滤和推荐相关信息的系统，但是使用文档内容进行推荐的推荐系统仍然有很长的路要走。在这里，我们提出一种基于深度学习的监督方法，根据内容的相似性推荐相似的文档。我们将C-DSSM模型与Word2Vec单词的分布式表示形式相结合，以创建一个新颖的模型，通过为其分配分数将文档对分类为相关/不相关。使用我们的模型，可以在O（1）时间内完成文档检索，并且存储复杂度为O（n），其中n是文档数。

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来源
《2017 International Conference on Inventive Computing and Informatics》|2017年|486-489|共4页
会议地点 Coimbatore(IN)
作者
Nishant Nikhil; Muktabh Mayank Srivastava;
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作者单位

Indian Institute of Technology Kharagpur, Kharagpur, India;

ParallelDots, Gurgaon, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Feature extraction; Semantics; Training; Computational modeling; Conferences; Informatics; Convolutional neural networks;

机译：特征提取;语义;训练;计算建模;会议;信息学;卷积神经网络;;

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1. Content-based Document Recommender System for Aerospace Grey Literature: Experimental Testing and User Opinion Survey. [J] . Rao K. NageswaraTalwar V. G. Grey Journal (TGJ) . 2011,第3期

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2. Content-Based Document Recommender System for Aerospace Grey Literature: System Design [J] . K. Nageswara Rao, V.G. Talwar DESIDOC Journal of Library Information Technology . 2011,第3期

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3. Content-Based Document Recommender System for Aerospace Grey Literature: System Design [J] . K. Nageswara Rao, V.G. Talwar DESIDOC Journal of Library Information Technology . 2011,第3期

机译：基于内容的航空航天灰色文献推荐系统：系统设计
4. Content based document recommender using deep learning [C] . Nishant Nikhil, Muktabh Mayank Srivastava International Conference on Inventive Computing and Informatics . 2017

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6. Identification of Regulatory SNPs Associated with Vicine and Convicine Content of Vicia faba Based on Genotyping by Sequencing Data Using Deep Learning [O] . Felix Heinrich, Martin Wutke, Pronaya Prosun Das, 2020

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7. Content Based Document Recommender using Deep Learning [O] . Nikhil, Nishant, Srivastava, Muktabh Mayank 2017

机译：基于内容的文档推荐使用深度学习

Content based document recommender using deep learning

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