• Feature Request

  • Please implement a better and more sophisticated rating system

i think this is a great suggestion. it happens frequently that a scene has great girls and but the overall scene is let down by some other factor(s) like the location or camera angles or a male performer or a the chemistry between girls or the video quality or lighting or something else. any feedback on this stuff just gets lost in the comments and the same mistakes end up being repeated. a rating system like vixens would enable slr to gather much better insights as to what works and what doesnt.

    dango789
    That's a totally different system. I don't want to hide anything. I just want to provide better and more sophisticated feedback. And I don't only want to give feedback if I don't like a video but also when I like it very much. And I want that this feedback is visible to everyone, not only the studio. That's exactly the opposite of transparency and 100% not what I want with this thread.

        spacepirate2 any feedback on this stuff just gets lost in the comments and the same mistakes end up being repeated. a rating system like vixens would enable slr to gather much better insights as to what could be improved.

        It doesn't only get lost, only very few people write comments in general and most often only people who are not satisfied. Having a few negative comments give actually zero insight whether there are really issues in a scene for the majority of people watching it. A sophisticated but still very easy to use rating system is imho a much better system to gather both negative and positive feedback from users than any comment section or forum could ever do. The really dedicated people could of course still write extensive reviews about their opinions on a scene, it's only additional feedback. 😉

          LordCrash Right now, I average around 10-20 videos per day. I give feedback on every single video by liking or hiding it.

          If I had to give multiple scores per video, I'd probably need to give 100 scores per day. I'd stop reviewing videos altogether. I suspect many users would do the same.

              dango789 no one would be pointing a gun at your head to give 100 scores per day 🤷‍♂️

              i dont think anyone said anything about removing the ability to like or hide videos either

                dango789 We already talked about that above, It should be a voluntary option. Has nothing to do with your wish to hide stuff though, completely different topic for another thread.

                Also I don't really think that the majority of people here watches 10-20 videos each day. 😉

                    LordCrash If I can still just give a simple like without having to give all the scores, and it doesn't clutter up my UI then I'm all in support for it 🙂

                      LordCrash last time we had it done years ago it wasn't really good. Some random numbers compared to factual data. Likes seems to be the best overall indicator

                          doublevr
                          Best overall indicator for what exactly? Seriously, there is ZERO valuable information to gain from a simple likes system. The only thing you can say based on that system is "Scene A was overall better perceived than scene B". But you can't say why that is the case. And the why is the important bit for further business decisons. Were the models well received? You don't know. Did people like the angles? You don't know. Was the setting great? You don't know. A scene could receive very little likes because it has technical difficulties although the huge majority of watchers like the models. Zero chance to make such differentation in a simple likes system. You could easily think that the models weren't well perceived while in reality there were a lot of different reasons for that.

                          Likes are the most random numbers compard to factual data...

                              LordCrash I have a marketing background - you'll be surprised how much insight can be derived from a simple like. That's why it's one of the primary metrics on Facebook/Instagram/YouTube etc. Top content creators are able to use likes to gauge what content their audience prefers and adjust appropriately.

                              You're right that there is a myriad of different reasons why people might like a scene, but when we analyse many different videos, we can pretty confidently isolate the effect of an individual performer/director/studio.

                              Let's take Agatha Vega as an example, who was cast in the top performing non-harem video in the past year. We want to determine whether she is a popular casting choice, or if the video mainly succeeded due to other factors.

                              To achieve this, we can analyse her videos from other studios. How well did her videos perform compared to other videos by the same studio, released around the same time? This would minimise any changes in camera tech, directors etc.

                              1) VR Edging

                              2) VR Solos

                              3) iStripper

                              Conclusion
                              While there is a little variation between studios (perhaps some videos weren't shot well etc), on the whole, videos featuring Agatha Vega consistently perform very well compared to other videos by the same studio, released around the same time.

                              We can use this same technique for other performers, or even types of performers (e.g. teens vs milfs, blondes vs redheads, natural vs performers with plastic surgery). We can also use this to isolate different settings, videos featuring certain camera angles etc.

                              One huge advantage of having a simple one-click feedback system is that you will get a lot more responses. And a larger sample size means more reliable data.

                                  dango789 This is something that I and others on the team have talked about before here in the forum many times, but it's not info that's observable to users, so I can also totally see where some folks are coming from when they complain about the "like" button being seemingly the only metric.

                                  Except that we have a lot of data when it comes to scene performance, and I mean...a LOT of data. I can't overstate how much of a data-driven company SLR is. And the correlation between "Likes" and every other metric is direct: a scene with more likes will (on average) have more downloads, more time streamed, etc. etc. etc.

                                  I've seen people make great points about "likes" just being a tool to remind them to check out a video later, or that likes are given just based on nothing else but a first impression of the scene or based on nothing but the performers/cast, or etc. etc. etc. And that all certainly factors in, but it doesn't change the data. And the data says quantity of likes = overall popularity of a scene.

                                  Not saying likes = actual success of a scene. That's a lot harder to gauge. Cost of the scene, new subscribers brought in, and a hundred other factors.

                                      dango789 slr tracks every second of every video watched and that gives significantly better insights than a simple like button but it doesnt tell them WHY something is more popular than something else. to do that they have to draw their own conclusions based on the data and those conclusions can be totally wrong since correlation and causation are two entirely different things. being able to gather better feedback on the WHY is what a more sophisticated rating system helps with.

                                          spacepirate You're right that the insights aren't as accurate as a scientific experiment in a controlled setting with a sample size of thousands. However, we can pretty reliably identify trends.

                                          Imagine a performer with 20 videos from 5 different studios. Now imagine that in 18 of those 20 videos, the videos are among the best compared to other videos by the same studio, released around the same time. You can use either likes or total minutes watched as your metric.

                                          While I wouldn't say it's scientific fact, I'd be pretty confident to suggest that she's a popular performer. Of course, there is a very slight chance that each of those 18 videos were an outlier. Perhaps, there just happened to be a better director who filled in that day and didn't shoot for the studio again. Perhaps they featured camera angles that they don't normally feature. Maybe the setting/storyline was much better than the studios' usual ones. While you can't rule it out, I would argue that it's unlikely to happen 18 different times out of 20.

                                          If we extend this to genres and settings, we can be even more confident. There are probably thousands of teens vs milf videos that we can compare. For the same studio, same director, same camera angles, how well do teens perform when compared to milfs? What about if a scene features a nurse costume?

                                              dango789 there are countless factors that contribute to how well a scene is liked and some are of greater importance than others. the choice of female performer is almost certainly the most important factor and you could easily draw reliable conclusions based on the number of likes alone for something like that. but for other less important factors like the best camera angle or distance for a particular position it may be difficult or impossible to draw any meaningful conclusions even with a sizable library of scenes and detailed tracking of precisely what people are watching.

                                                dango789 One huge advantage of having a simple one-click feedback system is that you will get a lot more responses. And a larger sample size means more reliable data.

                                                Does anybody actually read what other people write? We already discussed above that a two tier system would be best. Simple likes for those who want to give a fast response, more detailed system for those who want to give detailed feedback.

                                                There is ZERO argument against that actually.

                                                justsomedude101 And the data says quantity of likes = overall popularity of a scene.

                                                Nobody here actually denied that...

                                                    dango789 While I wouldn't say it's scientific fact, I'd be pretty confident to suggest that she's a popular performer.

                                                    Of course you can identify the most popular perfomers, that's not THAT hard. Good luck with performers who haven't shot 20 scenes already. How do you measure the popularity of a newbie who has perhaps only shot one scene yet? Your system only works with a lot of comparable data and there often isn't that much data to begin with. Then your system simply fails completely.

                                                    So yeah, your system works for those who are already well established. Congrats for finding out that there are famous. Maybe that's the reason why they were often booked in the first place...

                                                        we are going to separate likes and dislikes for scenes and comments and show each separately.

                                                        I think we can implement advanced rating as it's an easy thing to do. It doesn't seem to get that many likes though