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Learn User interests from feedback
2019 Community Moderator ElectionItem based and user based recommendation difference in MahoutAmplifying a Locality Sensitive HashIllustrating the dimensionality reduction done by a classification or regression modelWhich machine (or deep) learning methods could suit my text classification problem?Feedback AnalysisIdentify objects (bus) on the map based on coordinates (lat, lon)How to create user and item profile in an item to item collaborative filtering? (Non-rating case)Regularization term in Matrix FactorizationHow to match a user with other users with similar interests based on their attributes?A weird result from a recommender system
$begingroup$
I'm trying to create a pairwise learning model where user will be provided with 2 items (say $A$ and $B$) from which the user will provide the preference order ($A$ over $B$ or vice versa). Let's say each item is associated with $N$ features and every item is mapped to $N$-dimensional space. It should be an online model where the next set of item pairs will depend on the current user feedback. My goal is to map users and items to a common embedding space.
machine-learning reinforcement-learning
asked Mar 26 at 5:21
lone_riderlone_rider
285
$endgroup$
add a comment |
$begingroup$
I'm trying to create a pairwise learning model where user will be provided with 2 items (say $A$ and $B$) from which the user will provide the preference order ($A$ over $B$ or vice versa). Let's say each item is associated with $N$ features and every item is mapped to $N$-dimensional space. It should be an online model where the next set of item pairs will depend on the current user feedback. My goal is to map users and items to a common embedding space.
machine-learning reinforcement-learning
asked Mar 26 at 5:21
lone_riderlone_rider
285
$endgroup$
add a comment |
$begingroup$
I'm trying to create a pairwise learning model where user will be provided with 2 items (say $A$ and $B$) from which the user will provide the preference order ($A$ over $B$ or vice versa). Let's say each item is associated with $N$ features and every item is mapped to $N$-dimensional space. It should be an online model where the next set of item pairs will depend on the current user feedback. My goal is to map users and items to a common embedding space.
machine-learning reinforcement-learning
asked Mar 26 at 5:21
lone_riderlone_rider
285
$endgroup$
I'm trying to create a pairwise learning model where user will be provided with 2 items (say $A$ and $B$) from which the user will provide the preference order ($A$ over $B$ or vice versa). Let's say each item is associated with $N$ features and every item is mapped to $N$-dimensional space. It should be an online model where the next set of item pairs will depend on the current user feedback. My goal is to map users and items to a common embedding space.
machine-learning reinforcement-learning
machine-learning reinforcement-learning
asked Mar 26 at 5:21
lone_riderlone_rider
285
asked Mar 26 at 5:21
lone_riderlone_rider
285
asked Mar 26 at 5:21
lone_riderlone_rider
285
asked Mar 26 at 5:21
lone_riderlone_rider
285
asked Mar 26 at 5:21
lone_riderlone_rider
285
285
add a comment |
add a comment |
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