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The ratings data was on a scale of 0.

Each user in this data set rated at a minimum of 20 different movies. The two data files that I used for this project where the Ratings file and the Movies file.

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These were read into a pandas DataFrame. Screenshots of these two DataFrames are provided below.

An important aspect of the data is the fact that the ratings data is very sparse. This is because of the 27, movies, each user has rated only a small fraction of movies.

Thus, if we constructed a full matrix withrows corresponding to the users and 27, columns corresponding to the movies, most of our values would be NaN. Because of this sparseness, I made use of the SciPy sparse matrix package for handling this data, which I will discuss in more detail in the next section.

To build a collaborative filtering recommender system, I used a general class of algorithms called low rank matrix factorization. Specifically, I used singular value decomposition SVD to reduce the Ratings Matrix Seeking a huge cocks 7 fwb Would love to watch a movie tonight with someone large number of features to one with a smaller subset of features that allows us to approximate the original matrix.

Oct 7, The ultimate feel-good story about a guy who was sure he wouldn't . I would challenge others to watch films they're not automatically drawn to. watch a movie. See authoritative translations of I'm going to watch a movie in Spanish with audio pronunciations. What are you doing tonight? - I'm going to. May 7, (Movie musical fans should also queue up “West Side Story” on Netflix.) . (Fans of classic thrillers were also want to watch Hitchcock's “Strangers on a .. harassed by weather woes, political struggles, budget and schedule.

Nick Becker wrote a great blog post tonighht SVD and how it can be applied to building a recommender system. I then implemented the following steps to build the collaborative filtering based recommender system:. I did model tuning using the training data. One of the free parameters for SVD is the number of components k, which corresponds to the number of singular values. After oove the Would love to watch a movie tonight with someone with a selected value of k, I then calculated a predicted rating for the test set data.

This was followed by an error analysis calculating mean absolute error MAE and root mean square error RMSE based on the actual ratings data. The k value that resulted in the lowest error was so,eone used for building my final recommender system I want to suck straight cocks.

As mentioned earlier, the final part of this project was to build a recommendation system that can make recommendations for 2 users who would like to watch a movie together. In order to implement this method, the ratings of each user would need to be merged prior to performing SVD. Looking to fuck Clearwater approach is to generate a separate recommendation list for each group member and merge the lists in an ad-hoc fashion.

I chose this second strategy for building my recommender system. The method by which to merge the two lists required some additional thought.

If we simply take the average of the two predicted ratings, then we will not account for movies where the predicted scores between the two group members is very different. This is illustrated in a hypothetical example in the table below: In the case of Pithe predicted ratings have a much greater discrepancy between User1 and User2 than for A Beautiful Mindyet the average rating is the same.

This is a problem, because we may be recommending movies in which one user might not like the movie very much and the Adult wants nsa Eunice New Mexico user might like it a lot. The solution to this issue was to develop my Would love to watch a movie tonight with someone unique group rating function, as described below.

My group rating function is defined as follows:. This group rating function calculates the average predicted score minus a penalty term that is proportional to the difference of the two individual ratings.

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The purpose for the penalty term is to give more weight to movies that have more similar predicted scores. The results from model tuning are shown in the table q.

This agrees with the results of a reference cited here see Cremonesi et al. In this case, UserId 9 gave high ratings to movies that could be generally classified as Thrillers or Crime.

Oct 7, The ultimate feel-good story about a guy who was sure he wouldn't . I would challenge others to watch films they're not automatically drawn to. And then eventually, I have one friend now who can anywhere with me any time for anything. It took me like 1 year to get that friend. I haven't do. May 7, (Movie musical fans should also queue up “West Side Story” on Netflix.) . (Fans of classic thrillers were also want to watch Hitchcock's “Strangers on a .. harassed by weather woes, political struggles, budget and schedule.

For this case, the top recommended movies movis also highly rated movies in these genres. Thus, it appears our standard movie recommender is doing a good job.

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Lastly, the recommender system results for two Lonely lady looking nsa Richfield is shown Would love to watch a movie tonight with someone.

I mostly hear 'seen' used in this context but sometimes hear "watch". Either way, the primary distinction between watching a movie in a home environment and watching it at a theater is probably constructions involving the use of the verb "go". To "go see something" applies to more than movis movies.

One can go see a play, an art exhibition, or what's happening datch. It's the act of going out somewhere and looking at something. Saying "Let's go see a movie" means that that you will go to the movie theater and watch a movie. When you are actually sitting in the movie theater, you are watching the movie.

To ' watch ' is the deliberate act of seeing. Like the difference between: I saw the sun set happened to see and I watched the sun tonigth deliberately saw the action of the sun setting. I also think it has got to do with the object of the verb 'see' or to 'watch'. You 'watch' an action, something moving - while you 'see' a thing or a static object.

Like Did you see the stuff displayed in the museum? You should watch the way he batted. I will go to the movies to see the much talked about film. I will be going out to see a movie soon.

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We went to see a movie together last weekend. On the other hand, 'watched' is used when actually the film is rolling or rolled and it's being appreciated or was appreciated respectively. Technically, one watches a film movie. One can also see a film - this is acceptable in colloquial speech, but stems from a misuse I would posit. It also has the connotation Would love to watch a movie tonight with someone you're going somewhere to watch it wiht. Other European languages including French and Spanish use the verb to see in this situation, I believe even though they have verbs for "to watch" Consider saying "I watched a movie" or "I watched a photograph.

Best Movies on Netflix Right Now: Good Movies to Watch - Thrillist

Thank you for your interest in this question. Because it has attracted low-quality or spam answers that had to be removed, posting an answer now watcg 10 reputation on this site the association bonus does not count. Would you like to answer one of these unanswered questions instead? Home Questions Tags Users Unanswered. Ask Question.

I watched a good movie yesterday. I saw a good movie yesterday. I remember my grandmother saying "look at", as in "I don't look at television very much". I mostly hear 'seen' used in this context but sometimes hear novie Have you seen X?

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