Starting 2022 with a new feature: full-text search for the Front Matter blog

Fresh into 2022, the Front Matter blog today is launching an important new feature: full-text search of all blog posts. An example query would be for reference manager:As the Front Matter blog has a lot of posts about reference managers, ...

Intelligent Resume Retrieval Based on Lucence

With the development of Internet, the electronic resume has gradually replaced the paper one. It is the basic requirement of recruitment for enterprises to retrieve the talent information that fulfills the requirement quickly and without omission.Based on the framework of SpringBoot and Lucence full-text search engine, this paper implements a resume intelligent filtering algorithm, which improves the query speed of the system by establishing an index database. At the same time,the scoring function improves the accuracy of the filtering results, reduces the pressure of high concurrency of the database, improves the work efficiency of the Human Resources Department, and avoids the talent loss.

Pengalaman Orang Tua dalam Merawat Anak Berkebutuhan Khusus : Literature Review

Introduction: The presence of a child in the family is certainly very encouraging for parents. However, it is different from parents who have children with special needs. Children with special needs need different treatment from other children. This of course raises different experiences for each parent in their care. Objective: This study was to determine the psychosocial experience of parents in caring for children with special needs. Method: The method used in this paper is a literature review. With library sources, namely journal articles published in the 2020-2021 period which are full text. Search for journal articles using the Google Schoolar database with the keyword experience; parent; nurse; the child with special needs. Results: This study found 1,500 journal articles which the researchers then took according to the specified criteria, obtained as many as 10 articles. 10 articles reviewed by researchers found 3 journal articles on experiences of parents who can accept the condition of children with special needs and 7 articles found experiences of parents who have psychosocial problems in caring for children with special needs. Conclusion: This literature review found that the experience of parents in caring for children with special needs is divided into two where there are parents who can accept their child's condition sincerely and parents who experience psychosocial problems in the care of children with special needs such as stress, inferiority, shock, rejection, etc. How parents respond to their children with special needs is influenced by many factors such as age, environment, knowledge, etc.

Full Text Search Setup on a Website

ntroduction. When implementing the search for text fragments on the site, approaches are used that are different in complexity and performance. There is also a sequence of related tasks: choosing a text indexing option, sending a text for indexing, selecting texts for indexing specifically from the CMS database, choosing a search engine, and others. These approaches do not always provide satisfactory search results. Purpose. The purpose of the article is to the description of existing solutions for full-text search on a website, their advantages, and disadvantages. Development of a full-text search algorithm using the Elasticsearch system. Methods. Analysis of approaches to the implementation of full-text search on a website, varying in complexity and performance. Identification of flaws and vulnerabilities in more primitive approaches and the development of more advanced and complex algorithms that eliminate the identified deficiencies. Step-by-step implementation of full-text search using third-party systems. Results. A method for implementing full-text search using Elasticsearch is described. The advantage of the new approach is the asynchronous sending of the page content and its address to a specific service responsible for communication with Elasticsearch. This allows you not to block the normal work with the CMS and not depend on the availability of the indexing service. The approach described in the article is flexible and adaptable for various website architectures. Asynchronous processing of indexing requests ensures high query execution speed and system fault tolerance. Conclusions. The article discusses various approaches to implementing full-text search on a website, their advantages and disadvantages. Based on the analysis, a more flexible and universal approach to the implementation of a full-text search system has been developed. A solution is proposed with step-by-step implementation and setup of advanced full-text search using Elasticsearch.

Big Data Full-Text Search Index Minimization Using Text Summarization

An efficient full-text search is achieved by indexing the raw data with an additional 20 to 30 percent storagecost. In the context of Big Data, this additional storage space is huge and introduces challenges to entertainfull-text search queries with good performance. It also incurs overhead to store, manage, and update the largesize index. In this paper, we propose and evaluate a method to minimize the index size to offer full-text searchover Big Data using an automatic extractive-based text summarization method. To evaluate the effectivenessof the proposed approach, we used two real-world datasets. We indexed actual and summarized datasets usingApache Lucene and studied average simple overlapping, Spearman’s rho correlation, and average rankingscore measures of search results obtained using different search queries. Our experimental evaluation showsthat automatic text summarization is an effective method to reduce the index size significantly. We obtained amaximum of 82% reduction in index size with 42% higher relevance of the search results using the proposedsolution to minimize the full-text index size.

The information retrieval anthology 2021

The Information Retrieval Anthology, IR Anthology for short, is an endeavor to create a comprehensive collection of metadata and full texts of IR-related publications. We report on its first release, the use cases it can serve, as well as the challenges lying ahead to develop it towards a resource that serves the IR community for years to come. The IR Anthology's metadata browser and full text search engine are available at IR.webis.de.