Which is a result of using a machine?
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Traditional Information Retrieval started with score-based ranking for search results using scores such as TF-IDF[1] or BM25[2]. As search engines got better, the scores they used started getting better. A lot of big search engines use a heuristic / score-based model for search ranking. Most famously, as recently as 2011, Google used a heuristic model for ranking in search[3] in spite of having a really strong in-house expertise in Machine Learning. As of October 2017, Wikipedia also used BM25 for search ranking, and experimented with using a ML-model, but the results were mixed[4].
Ranking search results using machine learned models has been explored for at least a couple of decades now. It has gained even more prominence with the popularity of Learning to Rank[5] techniques in the last decade or so. For example, Bing has been using Learning to Rank techniques to rank its search results at least from 2009[6].
This is a choice a lot of new and existing search engines have to make: Should they go for hand-tuned, score-based models or should they use machine learning for ranking search results.
Here are some of factors that matter and should go into your decision-making. Note that most of these points are generic enough to apply to any prediction/ranking problem and are not restricted strictly to search.
Ranking search results using machine learned models has been explored for at least a couple of decades now. It has gained even more prominence with the popularity of Learning to Rank[5] techniques in the last decade or so. For example, Bing has been using Learning to Rank techniques to rank its search results at least from 2009[6].
This is a choice a lot of new and existing search engines have to make: Should they go for hand-tuned, score-based models or should they use machine learning for ranking search results.
Here are some of factors that matter and should go into your decision-making. Note that most of these points are generic enough to apply to any prediction/ranking problem and are not restricted strictly to search.
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Due to using machine we can make our work easier
It also save most time
but it also cause pollution
I am not sure about answer
It also save most time
but it also cause pollution
I am not sure about answer
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