Title: Interface to Myrrix. Myrrix is a Complete, Real-Time, Scalable
Clustering and Recommender System, Evolved from Apache Mahout
Description: Recommendation engine based on 'Myrrix'. 'Myrrix' is a complete,
real-time, scalable clustering and recommender system, evolved from 'Apache Mahout'.
It uses Alternating Least Squares to build a recommendation engine.

Title: External jars required for package Myrrix.
Description: External jars required for package Myrrix. Myrrix is a

Description: External jars required for package 'Myrrix'. 'Myrrix' is a recommendation engine.

Title: Handling Methods for Naver News Text Crawling
Description: Provides some functions to get Korean text sample from news articles in
Naver which is popular news portal service <https://news.naver.com/> in Korea.
Imports: xml2, rvest, httr, jsonlite, tidyr, tibble, dplyr, lubridate
Packaged: 2019-05-16 16:07:19 UTC; mrchypark

Packaged: 2020-03-19 22:24:33 UTC; mrchypark

Packaged: 2021-07-10 11:57:07 UTC; mrchypark

Imports: rvest, httr, jsonlite, tibble, dplyr, lubridate, urltools
Packaged: 2022-02-18 14:57:28 UTC; mrchypark

Imports: rvest, httr, jsonlite, tibble, dplyr, urltools, methods
Packaged: 2022-05-09 15:33:43 UTC; mrchypark

Imports: rvest, httr, jsonlite, tibble, dplyr, urltools
Packaged: 2022-07-15 07:47:09 UTC; mrchypark

Imports: rvest, jsonlite, tibble, purrr, httr2, magrittr, rappdirs
Packaged: 2022-09-03 16:57:24 UTC; mrchypark

Imports: rvest, jsonlite, tibble, purrr, httr2, magrittr
Packaged: 2022-09-13 20:24:58 UTC; mrchypark

Title: Fast and Scalable Approximate k-Nearest Neighbor Search Methods
Authors@R: c(person("Peter", "Kharchenko", email = "Peter_Kharchenko@hms.harvard.edu", role = c("aut")), person("Viktor", "Petukhov", email = "viktor.s.petukhov@ya.ru", role = c("aut")), person("Dirk", "Eddelbuettel", email="edd@debian.org", role=c("ctb")), person("Evan", "Biederstedt", email = "evan.biederstedt@gmail.com", role=c("cre", "aut")))
Description: Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical  Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <arXiv:1603.09320>.
Copyright: See the file COPYRIGHTS for various Eigen copyright details
Packaged: 2020-09-25 17:44:03 UTC; evanbiederstedt