Website stats for Movielens - movielens.org
science MovieLens is run by GroupLens, a research lab at the University of Minnesota. By using MovieLens, you will help GroupLens develop new experimental tools and interfaces for data exploration and recommendation. MovieLens is non-commercial, and free of advertisements.
movielens.org was registered 2 decades 5 years ago. It has a alexa rank of #51,311 in the world. It is a domain having .org extension. It is estimated worth of $ 295,200.00 and have a daily income of around $ 410.00. As no active threats were reported recently, movielens.org is SAFE to browse.
Traffic Report
| Daily Unique Visitors: | 34,174 |
| Daily Pageviews: | 205,044 |
Estimated Valuation
| Income Per Day: | $ 410.00 |
| Estimated Worth: | $ 295,200.00 |
Search Engine Indexes
| Google Indexed Pages: | Not Applicable |
| Yahoo Indexed Pages: | 2,010 |
| Bing Indexed Pages: | Not Applicable |
Search Engine Backlinks
| Google Backlinks: | Not Applicable |
| Bing Backlinks: | Not Applicable |
| Alexa BackLinks: | Not Applicable |
Safety Information
| Google Safe Browsing: | No Risk Issues |
| Siteadvisor Rating: | Not Applicable |
| WOT Trustworthiness: |
 Very Poor
|
| WOT Privacy: |
Very Poor
|
| WOT Child Safety: |
Very Poor
|
Website Ranks & Scores
| Alexa Rank: | 51,311 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
44 ON 100 
|
| Bounce Rate: | Not Applicable |
| Time On Site: | Not Applicable |
Web Server Information
Hosted IP Address:
128.101.34.236
Hosted Country:
US
Location Latitude:
44.9809Location Longitude:
-93.2263Search Engine Results For movielens.org
MovieLens Benchmark Task - GM-RKB - Gabor Melli
2017. http://grouplens.org/datasets/movielens/. QUOTE: GroupLens Research has collected and made available rating data sets from the ...
Installing the MovieLens movie rating dataset - Frank Kane's Taming...
There's some really cool movie ratings data out there from a site called grouplens .org . They actually make their data publicly available for researchers like us, so ...
movielens.ipynb - Colaboratory
MovieLens is a non-commercial web-based movie recommender system. It is created in 1997 and ... 'http://files.grouplens.org/datasets/movielens/ml-100k.zip',
MovieLens 1m | IEEE DataPort
Mar 26, 2021 ... GroupLens Research currently operates a movie recommender based on collaborative filtering: http://www.movielens.org/. RATINGS FILE ...
Datasets - Andreessen Horowitz
MovieLens. University of Minnesota. GroupLens Research has collected and made available rating data sets from the MovieLens web site (http://movielens. org).
MovieLens Functions — collie 0.5.0 documentation
https://movielens.org/images/movielens-logo.svg. The following functions under collie_recs.movielens read and prepare MovieLens 100K data, train and ...
Visualizing Movie Ratings - Daniel T. Kaplan:
The grouplens team provides the data directly at http://grouplens.org/datasets/ movielens/100k/. These data were reformatted by for the Data Computing book.
The MovieLens Data Set - Michael Ekstrand
... of movie rating data (ML-100K, ML-1M, ML-10M); Obtained from the MovieLens movie recommender; Widely used for 10-15 years. http://www. movielens.org ...
MovieLens Dataset | Papers With Code
The MovieLens datasets, first released in 1998, describe people's expressed preferences for movies. These preferences take the form of tuples, each the result ...
Amazon.com: MovieLens: Alexa Skills
- https://www.amazon.com/MovieLens/dp/B073QV2WMX?tag=askcom05-20
1. Go to movielens.org and create a user account 2. In the Alexa App, under the MovieLens skill, click on link account and sign in with your MovieLens account ...
MovieLens.org
MovieLens helps you find movies you will like. Rate movies to build a custom taste profile, then MovieLens recommends other movies for you to watch.
MovieLens - RecSysWiki
Mar 19, 2013 ... MovieLens is a recommender system and virtual community website that ... http:// www.movielens.org · MovieLens datasets · Wikipedia: ...
Presentation of a Recommender System with Ensemble Learning ...
Jul 15, 2020 ... This study was performed on the MovieLens datasets, and the obtained results indicated the high efficiency of the presented method.
CSE 255 Assignment 1 : Movie Rating Prediction using ... - UCSD CSE
MovieLens dataset. Yashodhan ... tent factor model [22, 23] on the MovieLens 1M data set [6]. We describe ... https://mahout.apache.org/users/recommender/.
hetrec2011-movielens-2k ...
... MovieLens10M dataset, published by GroupLeans research group. http://www. grouplens.org It links the movies of MovieLens dataset with their corresponding ...
Analyze MovieLens 1M dataset using Python - Programmer Sought
1 movieId. Indicates the id of this movie on movielens, which can be obtained through the link https://movielens.org/movies/(movieId).
Dealing with Pure New User Cold-Start Problem in ... - Hindawi
Volume 2020 |Article ID 8912065 | https://doi.org/10.1155/2020/8912065 ... Experimental evaluation was done using MovieLens dataset, and results are shown ...
At Movielens.org, everyone's a critic - MPR
Mar 31, 2005 ... University of Minnesota computer science professor Joe Konstan oversees Movielens.org. Thousands of Movielens users have issued nearly ...
Recommending Movies - MLDB Documentation
The MovieLens 20M dataset contains 20 million user ratings from 1 to 5 of ... activity from [MovieLens](http://movielens.org), a movie recommendation service.
MovieLens – Non-Commercial, Personalized Movie ... - Hacker News
Aug 16, 2015 ... I have used this as part of developing and testing the fitness of recommender systems in the past: http://grouplens.org/datasets/movielens/.
lightfm.datasets.movielens — LightFM 1.15 documentation
Source code for lightfm.datasets.movielens. import itertools ... Fetch the `
Movielens 100k dataset
Collaborative Filtering for Movie Recommendations - Keras
May 24, 2020 ... The MovieLens ratings dataset lists the ratings given by a set of users to ... from http://files.grouplens.org/datasets/movielens/ml-latest-small.zip" ....
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | 1 | H2 Headings: | 4 |
| H3 Headings: | Not Applicable | H4 Headings: | Not Applicable |
| H5 Headings: | Not Applicable | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 5 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-42433938-3 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| sign in | 2 | 1.266 % | No |
| or sign | 2 | 1.266 % | No |
| you will | 2 | 1.266 % | No |
| MovieLens is | 2 | 1.266 % | No |
| rich data | 2 | 1.266 % | No |
| now or | 2 | 1.266 % | No |
| more ninja | 2 | 1.266 % | No |
| up now | 2 | 1.266 % | No |
| sign up | 2 | 1.266 % | No |
| Minnesota By | 1 | 0.633 % | No |
| of Minnesota | 1 | 0.633 % | No |
| By using | 1 | 0.633 % | No |
| University of | 1 | 0.633 % | No |
| at the | 1 | 0.633 % | No |
| lab at | 1 | 0.633 % | No |
| using MovieLens | 1 | 0.633 % | No |
| the University | 1 | 0.633 % | No |
| MovieLens you | 1 | 0.633 % | No |
| develop new | 1 | 0.633 % | No |
| new experimental | 1 | 0.633 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| now or sign in | 2 | 1.266 % | No |
| sign up now or | 2 | 1.266 % | No |
| up now or sign | 2 | 1.266 % | No |
| of Minnesota By using | 1 | 0.633 % | No |
| Minnesota By using MovieLens | 1 | 0.633 % | No |
| By using MovieLens you | 1 | 0.633 % | No |
| University of Minnesota By | 1 | 0.633 % | No |
| the University of Minnesota | 1 | 0.633 % | No |
| lab at the University | 1 | 0.633 % | No |
| using MovieLens you will | 1 | 0.633 % | No |
| research lab at the | 1 | 0.633 % | No |
| at the University of | 1 | 0.633 % | No |
| will help GroupLens develop | 1 | 0.633 % | No |
| new experimental tools and | 1 | 0.633 % | No |
| experimental tools and interfaces | 1 | 0.633 % | No |
| tools and interfaces for | 1 | 0.633 % | No |
| develop new experimental tools | 1 | 0.633 % | No |
| GroupLens develop new experimental | 1 | 0.633 % | No |
| you will help GroupLens | 1 | 0.633 % | No |
| a research lab at | 1 | 0.633 % | No |
HTTP Header Analysis
Status-Code: 200
Status: 200 OK
Server: nginx/1.10.3 (Ubuntu)
Date: Thu, 13 May 2021 22:45:53 GMT
Content-Type: text/html
Last-Modified: Sat, 24 Apr 2021 14:44:47 GMT
Transfer-Encoding: chunked
Connection: keep-alive
ETag: W/"60842edf-1ee4"
Content-Encoding: gzip
Domain Information
| Domain Registrar: |
Public Interest Registry
|
|---|---|
| Registration Date: | 1999-10-19 2 decades 5 years 10 months ago |
Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| dns1.easydns.com | |
64.68.196.10 |  Canada |
| dns2.easydns.net | |
64.68.193.10 | Canada |
| dns3.easydns.ca | |
64.68.196.10 | Canada |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| movielens.org | A | 10794 |
IP: 128.101.34.236 |
| movielens.org | NS | 10800 |
Target: dns3.easydns.ca |
| movielens.org | NS | 10800 |
Target: dns1.easydns.com |
| movielens.org | NS | 10800 |
Target: dns2.easydns.net |
| movielens.org | SOA | 10800 |
MNAME: dns0.easydns.com RNAME: zone.easydns.com Serial: 1501265265 Refresh: 10800 Retry: 3600 Expire: 1209600 |
| movielens.org | MX | 10800 |
Priority: 5 Target: mail.cs.umn.edu |
Full WHOIS Lookup
Registry Domain ID:
D11438194-LROR
Registrar WHOIS Server:
whois.easydns.com
Registrar URL:
http://www.easydns.com
Updated Date:
2015-08-10T20:08:00Z
Creation Date:
1999-10-18T17:48:52Z
Registry Expiry Date:
2023-10-18T17:48:52Z
Registrar Registration Expiration
Date:
Registrar: easyDNS Technologies Inc.
Registrar IANA ID:
469
Registrar Abuse Contact Email: [email protected]
Registrar
Abuse Contact Phone: +1.4165358672
Reseller:
Domain Status:
clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Domain Status:
clientUpdateProhibited
https://icann.org/epp#clientUpdateProhibited
Registrant
Organization: CSE Dept. Univ of MN
Registrant State/Province:
MN
Registrant Country: US
Name Server:
DNS1.EASYDNS.COM
Name Server: DNS2.EASYDNS.NET
Name Server:
DNS3.EASYDNS.CA
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form https://www.icann.org/wicf/)
>>> Last
update of WHOIS database: 2021-05-13T22:44:56Z
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