商品类目预测,使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架,通过 TF-IDF 和 Bayes 算法,训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。
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Updated
Jun 7, 2021 - Java
商品类目预测,使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架,通过 TF-IDF 和 Bayes 算法,训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。
Implementation of algorithm in keyword extraction,including TextRank,TF-IDF and the combination of both
Search Engine for Books (Java, Apache Lucene, crawler4j, Apache Spark)
jSimilarity is a library that implements various similarity measures
Java package for Remembrance Agents! Based on Bradley Rhodes of MIT Media Lab
Simple android application with a Full Text Search mechanism built from scratch using SQLite.
A simple search engine that has been implemented for the Information Retrieval course
IR distributed on Mobile Cloud
Java API for extracting TF (term frequency), IDF (inverse document frequency) and TFIDF from a large corpus
TF-IDF Hadoop
Job recommendation system using Spring Boot, PostgreSQL & Docker
In this project, most relevant documents for user queries are retrieved using TF-IDF.
Big Data\MapReduce
Information retrieval (IR) is concerned with finding material (e.g., documents) of an unstructured nature (usually text) in response to an information need (e.g., a query) from large collections. One approach to identify relevant documents is to compute scores based on the matches between terms in the query and terms in the documents. For exampl…
Assignments and Exercises implemented during undergrad
Bachelor's Thesis at FER, University of Zagreb, 2018.
Distributed document search using TF-IDF algorithm.
This repo is a walkthrough of basic concepts and principles in a direction of creating a distributed search system.
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