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We are currently running a study on the effects of adding additional information to SuggestBot’s recommendations. Participation in the study is voluntary. Should you wish to not participate in the study, or have questions or concerns, you can find contact information in the consent information sheet.

We have added information about the readership of the suggested articles using a Low/Medium/High scale which goes from Low Readership: Low to High Readership: High.

SuggestBot predicts that you will enjoy editing some of these articles. Have fun!

Stubs   Cleanup
Readership: High Blackboard system   Readership: High Street dog
Readership: High Kasai, Hyōgo   Readership: High Impulse excitation technique
Readership: High Adyton   Readership: High Data fusion
E-dentity   Merge
Readership: High The Story of a Soldier   Readership: High Data curation
Readership: High LG Quantum   Readership: High List of calculus topics
Readership: Medium La Piovra (soundtrack)   Readership: High Location intelligence
Readership: Low Widden, New South Wales   Add sources
Readership: High Once Upon a Time in the West (soundtrack)   Readership: High WE School
Readership: High Mudflap   Readership: Medium Movin' on Without You
Readership: Low Hideki Kasai   Readership: High Data cluster
Readership: Medium Baerami, New South Wales   Wikify
Readership: High Micheline Bernardini   Readership: High Social network analysis software
Readership: High Oorukku Uzhaippavan   Readership: High The One (Uverworld album)
Readership: High Nishi-Kasai Station   Readership: High List of best-selling albums in Japan
Readership: High M. Krishnan Nair (director)   Expand
Readership: High Teruzane Utada   Readership: High Danube Swabians
Readership: High Sakura Drops/Letters   Readership: High Gurbanguly Berdimuhamedow
Readership: High Computational formula for the variance   Readership: High Brazing

SuggestBot picks articles in a number of ways based on other articles you've edited, including straight text similarity, following wikilinks, and matching your editing patterns against those of other Wikipedians. It tries to recommend only articles that other Wikipedians have marked as needing work. We appreciate that you have signed up to receive suggestions regularly, your contributions make Wikipedia better — thanks for helping!

If you have feedback on how to make SuggestBot better, please let us know on SuggestBot's talk page. Regards from Nettrom (talk), SuggestBot's caretaker. -- SuggestBot (talk) 01:12, 2 March 2013 (UTC)

Articles you might like to edit, from SuggestBot

We are currently running a study on the effects of adding additional information to SuggestBot’s recommendations. Participation in the study is voluntary. Should you wish to not participate in the study, or have questions or concerns, you can find contact information in the consent information sheet.

We have added information about the readership of the suggested articles using a Low/Medium/High scale which goes from Low Readership: Low to High Readership: High.

SuggestBot predicts that you will enjoy editing some of these articles. Have fun!

Stubs   Cleanup
Readership: Medium La Piovra (soundtrack)   Readership: High Harvard University
Readership: High Nishi-Kasai Station   Readership: High Impulse excitation technique
Readership: Low Masae Kasai   Readership: High Data fusion
Readership: High Kasai, Hyōgo   Merge
Readership: High Blackboard system   Readership: High Order book (trading)
Readership: High Kasai Rinkai Park   Readership: High Data curation
Readership: Medium Widden, New South Wales   Readership: High Data visualization
Readership: High Mudflap   Add sources
Readership: Low Tahara Station   Readership: High Soldering iron
Readership: Medium Hideki Kasai   Readership: High Footjob
Readership: High The Story of a Soldier   Readership: High Business activity monitoring
Readership: Low Kenta Kasai   Wikify
Readership: High Micheline Bernardini   Readership: High Social network analysis software
Readership: Low Akira Kasai   Readership: High Crossfire (board game)
Readership: Medium Kasai Station   Readership: High Mr. Nanny
Readership: High Brida (novel)   Expand
Readership: High Lauren Carter   Readership: High Brazing
Readership: High Georges Heights, New South Wales   Readership: High Danube Swabians
Readership: Medium Baerami, New South Wales   Readership: High Crookwell, New South Wales

SuggestBot picks articles in a number of ways based on other articles you've edited, including straight text similarity, following wikilinks, and matching your editing patterns against those of other Wikipedians. It tries to recommend only articles that other Wikipedians have marked as needing work. We appreciate that you have signed up to receive suggestions regularly, your contributions make Wikipedia better — thanks for helping!

If you have feedback on how to make SuggestBot better, please let us know on SuggestBot's talk page. Regards from Nettrom (talk), SuggestBot's caretaker. -- SuggestBot (talk) 02:59, 9 March 2013 (UTC)

Articles you might like to edit, from SuggestBot

We are currently running a study on the effects of adding additional information to SuggestBot’s recommendations. Participation in the study is voluntary. Should you wish to not participate in the study, or have questions or concerns, you can find contact information in the consent information sheet.

We have added information about the readership of the suggested articles using a Low/Medium/High scale which goes from Low Readership: Low to High Readership: High.

SuggestBot predicts that you will enjoy editing some of these articles. Have fun!

Stubs   Cleanup
Readership: High Brida (novel)   Readership: High Data fusion
Readership: High Forgiveness (song)   Readership: High Harvard University
Readership: High User requirements document   Readership: High CS Communication & Systèmes
Readership: Medium La Piovra (soundtrack)   Merge
Readership: High The Story of a Soldier   Readership: High Data curation
Readership: High Voyage (song)   Readership: High Office automation software
Readership: High Micheline Bernardini   Readership: High Information and communication technologies for development
Readership: High Once Upon a Time in the West (soundtrack)   Add sources
Readership: High Philosophy of accounting   Readership: High Digital infrared thermal imaging in health care
Readership: High Small business SEO   Readership: High Infrared
Readership: High Act of Vengeance   Readership: High Infrared thermometer
Readership: High Appears   Wikify
Readership: High H (EP)   Readership: High Breast-conserving surgery
Readership: High M. Krishnan Nair (director)   Readership: High Social network analysis software
Readership: High Dzus fastener   Readership: High Starr revolver
Readership: High The Beverly Hills Courier   Expand
Readership: Medium Pērkoņkalve   Readership: High Mirrorcle World
Readership: High Aldborough, Norfolk   Readership: High Danube Swabians
Readership: High Gaap   Readership: High Technical surveillance counter-measures

SuggestBot picks articles in a number of ways based on other articles you've edited, including straight text similarity, following wikilinks, and matching your editing patterns against those of other Wikipedians. It tries to recommend only articles that other Wikipedians have marked as needing work. We appreciate that you have signed up to receive suggestions regularly, your contributions make Wikipedia better — thanks for helping!

If you have feedback on how to make SuggestBot better, please let us know on SuggestBot's talk page. Regards from Nettrom (talk), SuggestBot's caretaker. -- SuggestBot (talk) 00:00, 16 March 2013 (UTC)

Articles you might like to edit, from SuggestBot

We are currently running a study on the effects of adding additional information to SuggestBot’s recommendations. Participation in the study is voluntary. Should you wish to not participate in the study, or have questions or concerns, you can find contact information in the consent information sheet.

We have added information about the readership of the suggested articles using a Low/Medium/High scale which goes from Low Readership: Low to High Readership: High.

SuggestBot predicts that you will enjoy editing some of these articles. Have fun!

Stubs   Cleanup
Readership: High Planning Inspectorate   Readership: High Mobile virus
Readership: High D. Srinivas (politician)   Readership: High Heelflip
Readership: High Government circular   Readership: High Environmental governance
Readership: High Building officials   Merge
Readership: Medium The Beverly Hills Courier   Readership: High WorkSafe Victoria
Readership: Medium Pērkonkalve   Readership: High E-democracy
Readership: High Material consideration   Readership: High Information and communication technologies for development
Readership: High Pole jam   Add sources
Readership: High Thermo-hygrograph   Readership: High Infrared
Readership: High Per Welinder   Readership: High Surfing
Readership: High Kim Sharma   Readership: High Infrared thermometer
Readership: High Dzus fastener   Wikify
Readership: High National park authority   Readership: High Flip tricks
Readership: High Thermal emittance   Readership: High Christopher Wanjek
Readership: Medium Aldborough, Norfolk   Readership: Medium Serial switcher
Readership: High Minyue   Expand
Readership: High Planning Policy Statements   Readership: High Technical surveillance counter-measures
Readership: High Greater London Plan   Readership: Medium Political houseparty
Readership: Low Mineral Policy Statements   Readership: High Transworld Skateboarding

SuggestBot picks articles in a number of ways based on other articles you've edited, including straight text similarity, following wikilinks, and matching your editing patterns against those of other Wikipedians. It tries to recommend only articles that other Wikipedians have marked as needing work. We appreciate that you have signed up to receive suggestions regularly, your contributions make Wikipedia better — thanks for helping!

If you have feedback on how to make SuggestBot better, please let us know on SuggestBot's talk page. Regards from Nettrom (talk), SuggestBot's caretaker. -- SuggestBot (talk) 00:46, 23 March 2013 (UTC)

Articles you might like to edit, from SuggestBot

We are currently running a study on the effects of adding additional information to SuggestBot’s recommendations. Participation in the study is voluntary. Should you wish to not participate in the study, or have questions or concerns, you can find contact information in the consent information sheet.

We have added information about the readership of the suggested articles using a Low/Medium/High scale which goes from Low Readership: Low to High Readership: High.

SuggestBot predicts that you will enjoy editing some of these articles. Have fun!

Stubs   Cleanup
Readership: High Barrack Heights, New South Wales   Readership: High Password strength
Readership: High Income bracket   Readership: High Unemployment extension
Readership: High Blackbutt, New South Wales   Readership: High Smart card
Readership: High Unemployment Convention   Merge
Readership: High Ashram Road   Readership: High Equal pay for women
Readership: High Civil conscription   Readership: High Job (role)
Readership: High Employee exit management   Readership: High Internet security
Readership: Medium Shellharbour City Centre, New South Wales   Add sources
Readership: Medium Shell Cove, New South Wales   Readership: High Encrypting File System
Readership: High Domain privacy   Readership: High Retroactive overtime
Readership: High National average salary   Readership: High Secure Shell
Readership: High Four-day week   Wikify
Readership: High No call, no show   Readership: High Occupational stress
Readership: High Dead-end job   Readership: High Employability
Readership: High Letter of resignation   Readership: High Crusty Demons
Readership: High D. Srinivas (politician)   Expand
Readership: Medium Flinders, New South Wales   Readership: High Rodney Mullen
Readership: Medium Common Authentication Service Adapter   Readership: High Employment-to-population ratio
Readership: Medium Saptak School of Music   Readership: High Security token

SuggestBot picks articles in a number of ways based on other articles you've edited, including straight text similarity, following wikilinks, and matching your editing patterns against those of other Wikipedians. It tries to recommend only articles that other Wikipedians have marked as needing work. We appreciate that you have signed up to receive suggestions regularly, your contributions make Wikipedia better — thanks for helping!

If you have feedback on how to make SuggestBot better, please let us know on SuggestBot's talk page. Regards from Nettrom (talk), SuggestBot's caretaker. -- SuggestBot (talk) 01:16, 30 March 2013 (UTC)