Dad Jokes - Daily Funny Jokes
Free
1.3for iPhone, iPad
Age Rating
Dad Jokes - Daily Funny Jokes Screenshots
About Dad Jokes - Daily Funny Jokes
Funny jokes, powered by AI. This app is one of its own kind in the market. We leverage AI technology to bring you the best experience.
Highlights:
- Train the AI by reacting with the like and dislike button.
- All jokes are manually screened to ensure they are appropriate and funny.
- Simplistic UI design with relaxing background music.
How it works?
1. We processed more than 15,000 joke entries, by breaking them into word tokens, building token vector representations, and then classifying them into roughly 40 categories using state-of-art Support Vector Machine (SVM) algorithm [1].
2. Out of these entries, we randomly selected 400 of them under uniform distribution (about 10 entries for each category) as the “seed” data list.
3. From this filtered list, we carefully handpicked 100 entries as the initial data.
4. Then we baked these 100 predefined entries into the app for everyone to start with.
5. You react to jokes (by tapping either "like" or "dislike" button)
6. We then perform on-device machine learning to compute a heuristic vector. This is how the algorithm learns about your preference. We use Reinforcement Learning [2] to keep tuning your heuristic vector as you use the app.
7. After training with these 100 “seed” entries, we will start serving fully customized jokes that the algorithm thinks you will most likely enjoy. This pattern matching process involves weighted voting of multiple AI algorithms such as Naive Bayes [3] and K-Nearest Neighbors (KNN) [4].
8. Note that our server is completely stateless - it never stores your preferences. It simply receives your locally computed heuristic vector mentioned above, responds with the best matching joke, and then discards it.
References
[1] Support Vector Machine: https://people.eecs.berkeley.edu/~adj/publications/paper-files/SVM-PKDD08.pdf
[2] Reinforcement Learning:http://rail.eecs.berkeley.edu/deeprlcourse-fa19/static/slides/lec-4.pdf
[3] Naive Bayes: http://artificial-intelligence-class.org/assets/slides/07-Naive-Bayes-and-Perceptron.pdf
[4] K-Nearest Neighbor: https://simons.berkeley.edu/sites/default/files/docs/11886/nn-simons-part1.pdf
Highlights:
- Train the AI by reacting with the like and dislike button.
- All jokes are manually screened to ensure they are appropriate and funny.
- Simplistic UI design with relaxing background music.
How it works?
1. We processed more than 15,000 joke entries, by breaking them into word tokens, building token vector representations, and then classifying them into roughly 40 categories using state-of-art Support Vector Machine (SVM) algorithm [1].
2. Out of these entries, we randomly selected 400 of them under uniform distribution (about 10 entries for each category) as the “seed” data list.
3. From this filtered list, we carefully handpicked 100 entries as the initial data.
4. Then we baked these 100 predefined entries into the app for everyone to start with.
5. You react to jokes (by tapping either "like" or "dislike" button)
6. We then perform on-device machine learning to compute a heuristic vector. This is how the algorithm learns about your preference. We use Reinforcement Learning [2] to keep tuning your heuristic vector as you use the app.
7. After training with these 100 “seed” entries, we will start serving fully customized jokes that the algorithm thinks you will most likely enjoy. This pattern matching process involves weighted voting of multiple AI algorithms such as Naive Bayes [3] and K-Nearest Neighbors (KNN) [4].
8. Note that our server is completely stateless - it never stores your preferences. It simply receives your locally computed heuristic vector mentioned above, responds with the best matching joke, and then discards it.
References
[1] Support Vector Machine: https://people.eecs.berkeley.edu/~adj/publications/paper-files/SVM-PKDD08.pdf
[2] Reinforcement Learning:http://rail.eecs.berkeley.edu/deeprlcourse-fa19/static/slides/lec-4.pdf
[3] Naive Bayes: http://artificial-intelligence-class.org/assets/slides/07-Naive-Bayes-and-Perceptron.pdf
[4] K-Nearest Neighbor: https://simons.berkeley.edu/sites/default/files/docs/11886/nn-simons-part1.pdf
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What's New in the Latest Version 1.3
Last updated on May 6, 2022
Old Versions
Fixed a few typos.
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Version History
1.3
May 6, 2022
Fixed a few typos.
1.1
Feb 20, 2022
- Added more jokes
- Slightly tuned Machine Learning parameters.
- Slightly tuned Machine Learning parameters.
Dad Jokes - Daily Funny Jokes FAQ
Click here to learn how to download Dad Jokes - Daily Funny Jokes in restricted country or region.
Check the following list to see the minimum requirements of Dad Jokes - Daily Funny Jokes.
iPhone
iPad
Dad Jokes - Daily Funny Jokes supports English
