Personalised search ranking for hotels Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsMulti-label rankingMachine learning algorithm for rankingLearning rankingXGBoost ranking file formatPeformance evaluation of ranking algorithmsbusiness ranking based on transaction dataStatistical Significance for Pairwise Ranking AlgorithmReduce number of vectors in dataset to achieve the “same average dimensions result”?How to dual encode two sentences to show similarity scoreMultilabel Classification With Ranking
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Personalised search ranking for hotels
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsMulti-label rankingMachine learning algorithm for rankingLearning rankingXGBoost ranking file formatPeformance evaluation of ranking algorithmsbusiness ranking based on transaction dataStatistical Significance for Pairwise Ranking AlgorithmReduce number of vectors in dataset to achieve the “same average dimensions result”?How to dual encode two sentences to show similarity scoreMultilabel Classification With Ranking
$begingroup$
I've built hotel embeddings which gives very satisfactory results in returning similar hotels for each hotel.
Now the problem I'm trying to solve is to rank the hotels in order of relevancy to the user when they search for a location.
My current approach is to get the recent n bookings made by the user, average their embeddings and find the most similar hotels to this vector.
But this result is not satisfactory. Averaging hotel embeddings is not working as expected.
Any suggestions here?
recommender-system word-embeddings ranking
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
$endgroup$
add a comment |
$begingroup$
I've built hotel embeddings which gives very satisfactory results in returning similar hotels for each hotel.
Now the problem I'm trying to solve is to rank the hotels in order of relevancy to the user when they search for a location.
My current approach is to get the recent n bookings made by the user, average their embeddings and find the most similar hotels to this vector.
But this result is not satisfactory. Averaging hotel embeddings is not working as expected.
Any suggestions here?
recommender-system word-embeddings ranking
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
$endgroup$
add a comment |
$begingroup$
I've built hotel embeddings which gives very satisfactory results in returning similar hotels for each hotel.
Now the problem I'm trying to solve is to rank the hotels in order of relevancy to the user when they search for a location.
My current approach is to get the recent n bookings made by the user, average their embeddings and find the most similar hotels to this vector.
But this result is not satisfactory. Averaging hotel embeddings is not working as expected.
Any suggestions here?
recommender-system word-embeddings ranking
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
$endgroup$
I've built hotel embeddings which gives very satisfactory results in returning similar hotels for each hotel.
Now the problem I'm trying to solve is to rank the hotels in order of relevancy to the user when they search for a location.
My current approach is to get the recent n bookings made by the user, average their embeddings and find the most similar hotels to this vector.
But this result is not satisfactory. Averaging hotel embeddings is not working as expected.
Any suggestions here?
recommender-system word-embeddings ranking
recommender-system word-embeddings ranking
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
edited 6 mins ago
Thirupathi Thangavel
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
asked 15 mins ago
Thirupathi ThangavelThirupathi Thangavel
1024
1024
add a comment |
add a comment |
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