FEATURE: 'Recommended for you based off stories you've read.'

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general
requests

#1

You read stories & based on your ratings/whether you keep reading or not, Episode will recommend a similar story of your interest with high levels of reader retention.

That way unique stories will get the recognition they deserve and readers will easily find amazing stories they love, instead of having to scroll past hundreds of the cliche ‘kidnapped and pregnant by the bad boy, gang leader’ stories wrongfully infiltrating every genre.

Like to show your support! :relaxed:


#2

This is such a great idea; I would love to see something like this implemented.


#3

I’ve heard it been suggested but I don’t know where Episode stands with this feature. I’m sick of getting mad when I open the app & try to search for stories. :unamused:


#4

This is a wonderful idea, and I truly hope they add this feature to the app in the near future. You have my full support! :grin:


#5

It’s a helpful feature, but who is determining whether one story is like another and how are they doing it?

Perhaps they recommend stories based on what others reading this story also read?

Like, Billy Bob reads “Lemons are Cool”
He then reads “Limes are Cooler”
Bob Billy reads “Lemons are Cool” so he gets recommend “Limes are Cooler”

The only problem I see with this is there are some stories everyone reads for one reason or another & those might end up constantly recommended even on books that are nothing like them.


#6

I’m not a tech wiz; I’m speaking purely from ideas lol. I’m sure there could be more covered but if YT is able to do it, Episode could try to make it work too.

I think the same system that tracks where stories are ranked could have the ‘recommended for you’ job. First it’ll be detected by genre (not necessarily a must, it could rely more on tags as there will be a bigger selection).

Afterwards, tags relating to the story (which would need to be improved in the portal: ability to add more tags + have plenty of pre-set tag sub categories) will be what is driving recommended stories.

If there is a group of similar relating tags like: agent, spy, assassin… Instead of just looking for one ‘tag’ it could recognize others that are similar & recommend based off of that or even go further to what also relates to those but is slightly different (ex: crime in this case) & so on.

It doesn’t have to just be done systematically, the reader can also do it themselves with a setting they can alter. Special requests like art styles, stories with multiple genres in 1 - all would be based on tags & they can be able to turn it on/off as they please. Most importantly their preferences are remembered but will evolve as they read more stories.

Nevertheless, the “recommended for you” feature is still meant to deliver stories… GOOD stories with the reader’s preferences in mind & basic to high levels of reader retention but not based off of reads at all - that’s what the trending section will be for anyway.

I think what you said is great addition & can be part of the feature as well, “readers who read this also read: [set of stories].”

Stories that are trending don’t have to be recommended but rather stated while the ‘recommended for you’ feature is in action, “check out the new trending stories in [genre]” like episode does already for featured stories lol.

Individual trending stories shouldn’t be targeted for promotion as that’s actually sort of counter productive with this feature… Small stories have a lot to offer too! So the bar would be set for stories with less than 1k reads up to a million+ but those stories would need to not be trending anymore & for a while to keep it fair.

That’s all I got. It was a lot to think about! I’m sure if episode does decide to do this they will have a better executed plan but I think this is pretty good for a start.


#7

This is a great idea!


#8

Love it!


#9

Bump! Just keeping this thread alive. :sparkles:


#10

I think the tags idea is great! However, what about people who are abusing it just for more people to read their story? I know it will at some point mess up the system by people adding tags that in no way shape or form relate to the story. But i guess you’ll always get that in any situation.


#11

Episode needs this!:two_hearts:


#12

Report them for abusing the feature in the same way they’re reported for violating guidelines. Additions to this feature can also help combat that as well like; “Readers who read this, also read…”

It’s counter-productive. This feature is meant to support good writers with medium to high retention levels to write what they want and ensure readers find stories of their interest + discover new ones!

These authors who engage in these behaviors have low retention levels for a reason especially since they’re trying to actively target the wrong audience (which will be hurting themselves rather than finding the appropriate readers to help them grow). That alone is enough to ensure they won’t stand a chance being featured. :relaxed:


#13

I guess you have a point, there could be an option to report stories that are in the incorrect category, which it could be sent to Episode, or if a high amount of people report it, it could be taken down off of recommended.

I was wondering as well if episode has jobs for people approving backgrounds/overlays/covers or if they are just episode team doing it, because if so, they can also sort out reports from recommended.
Just a thought :smiley:


#14

somebody watches too much Netflix😂
But great idea tho


#15

Thanks for your support and input! :purple_heart:


#16

YouTube*


#17

support