Results 141 to 150 of about 142,696 (248)

HARD: SUBJECT-BASED SEARCH ENGINE MENGGUNAKAN TF-IDF DAN JACCARDÂ’S COEFFICIENT

, 2006
This paper proposes a hybridized concept of search engine based on subject parameter of High Accuracy Retrieval from Documents (HARD). Tf-Idf and Jaccard's Coefficient are modified and extended to providing the concept.
Defeng, Andrew, Intan, Rolly
core   +1 more source

LLM-Based Information Retrieval for Disease Detection Using Semantic Similarity

JOIN: Jurnal Online Informatika
Information retrieval systems are vital for disease prediction, but traditional methods like TF-IDF struggle with word meanings and produce long, complex vectors.
Muhammad Adrinta Abdurrazzaq, Edwin Lesmana Tjiong, Kent Algren Wanady   +2 more
doaj   +1 more source

Labor Demand Similarity and Mergers and Acquisitions: Evidence From 3 Million Job Postings

Financial Review, Volume 61, Issue 4, Page 1289-1315, November 2026.
ABSTRACT Using a job‐posting‐based measure of labor market competition, we show that firms tend to acquire companies that are their labor market competitors. Cross‐sectional evidence indicates that these acquisitions are more likely in industries with similar corporate cultures, more binding noncompete agreements, and among firms that are not rivals in
Mingming Ao, John (Jianqiu) Bai, Tyler Hull, Chen Shen, Chi Wan   +4 more
wiley   +1 more source

Predicting functional outcomes after a stroke event by clinical text notes: A comparative study of traditional machine learning and deep learning methods

Health Informatics Journal
Objective: Accurately predicting functional outcomes after acute ischemic stroke is essential for healthcare institutions to optimize staffing and resource allocation.
Yu-Hsiang Su, Chih-Fong Tsai
doaj   +1 more source

Ranked Document Retrieval for Two-Pattern Queries with TF-IDF Scoring

The ranked document retrieval problem asks us to preprocess a collection of texts (called documents) of total length $n$ so that, given a string $P$ (called pattern) and an integer $k$, we can efficiently report the $k$ documents most relevant to $P$.The
Rahul Shah, Shashank Ajit Walke, Sharma V. Thankachan, Arnab Ganguly   +3 more
core   +1 more source

A detection method for android application security based on TF-IDF and machine learning. [PDF]

PLoS One, 2020
Yuan H, Tang Y, Sun W, Liu L.
europepmc   +1 more source

Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec. [PDF]

PLoS One, 2020
Mohammed M, Omar N.
europepmc   +1 more source

News recommendations using CF-IDF News Recommendations using CF-IDF

, 2020
Most of the traditional recommendation algorithms are based on TF-IDF, a term-based weighting method. This paper proposes a new method for recommending news items based on the weighting of the occurrences of references to concepts, which we call Concept ...
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska De Jong   +3 more
core  

INFORMATION RETRIEVAL PENCARIAN INFORMASI DI YAYASAN DARUL ULUM AL CHOLILY MENGGUNAKAN METODE TF-IDF [PDF]

Yayasan Darul Ulum Al Cholily, sebuah lembaga pendidikan yang berdiri sejak tahun 1937, memerlukan sistem untuk mengelola dokumen mendukung aktivitas akademik dan administratif.
Mafakhir, Muhammad Tajul
core  

Top-ten tf-idf terms for publication authorship in astronomy (10 largest clusters).

Top-ten tf-idf terms for publication authorship in astronomy (10 largest clusters).
Steffen Blaschke (18404206)
core   +1 more source