Gorse
AI
recommender system
SHOW HN2021
212points
41comments
#211of 2,533 in 2021
Top 9%of 2021 by points
How HN took it
CuriousMostly questions and neutral comments
1 positive, 10 neutral or asking, 1 mixed, 3 critical, out of 15 comments about the project. Thread score -0.14.
Idea: 1 for, 1 againstDesign: 0 for, 1 againstPerformance: 0 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Good project, automatic selection of best algorithm appreciated
From 1 comment
I think this looks very good, and I love seeing that it has the capability to automatically select the recommendation algorithm with the best performance. I think there are two…
Reubend on HN
Objections
Generic abstraction loses domain context such as contextual signals
From 2 comments
I wonder whether a really good experience can be built by abstracting out recommendations to this degree. I think in the context of an actual product, there would be other…
abeppu on HNThere are no explicit negative feedback yet. When a item is seen by a user, the read event is recorded. If this user likes this item, the positive feedback is recorded. It seems…
zhenghaoz on HN
Popular items dominate recommendations, long tail suffers
From 1 comment
A challenge with naive recommender systems in an ecommerce setting is that they tend to recommend the most popular items on your site rather than surfacing the long tail of SKUs,…
vector_spaces on HN
No explicit negative feedback
From 1 comment
There are no explicit negative feedback yet. When a item is seen by a user, the read event is recorded. If this user likes this item, the positive feedback is recorded. It seems…
zhenghaoz on HN
Requests
Real-time recommendations
From 2 comments
Does this handle real time recommendations as described here: https://eugeneyan.com/writing/real-time-recommendations/
KaoruAoiShiho on HNContextual information is not the only reason. New content/new users is the primary reason my current work place wants more real time recommendation especially when we mostly…
Mehdi2277 on HN
Context-aware recommenders
From 1 comment
So are there any plans for context aware recommenders?
antman on HN
Explicit negative feedback and dislikes
From 2 comments
Really interesting project, thank you for sharing! Looking at the documentation [0], it would appear that negative feedback for an item can only be given by giving feedback that…
opheliate on HNIf you start with an algorithm that accepts any type of user behavior (is multimodal) then using user-dislikes is easy. We can easily do this with the Universal Recommender as…
Sloppy on HN
Documentation of algorithms and hyperparameter freezing
From 2 comments
cool project, i was curious which algorithms are used for recommendations/ranking, couldn't find it in the docs, so had to go through the code, may be add a section on algorithms…
andyxor on HNI think this looks very good, and I love seeing that it has the capability to automatically select the recommendation algorithm with the best performance. I think there are two…
Reubend on HN
Questions
Can it be used to build a local personal recommender?
From 1 comment
Congratulations & Great work on the project! I just wrote in my problem validation platform about the need for personal recommendation system which can create a model based on…
Abishek_Muthian on HN
Will it be offered as a hosted service?
From 1 comment
Great project! Are you thinking about offering this as a service as well? It feels like you could have a lot of interest with a run-it-yourself or we-do-it-for-you-as-a-service…
jedwhite on HN
Can graph databases be used?
From 1 comment
What do you think about using a graph DB like neo4j, redis-graph or the chinese competitor Nebula Graph?
KaoruAoiShiho on HN
Alternatives named
Universal Recommender / Harness
From 2 comments
The Universal Recommender (part of the Harness project) allows contextual and multimodal behavioral information to be used in recs. https://github.com/actionml/harness
Sloppy on HNApache PredictionIO was designed for data scientists (I was a committer so am quite familiar with design decisions). It was built to allow new "engines" to be implemented for any…
Sloppy on HN
Recombee
From 1 comment
I use recombee[0] and it seems pretty nice, albeit not open source. Not affiliated in any way. Not even a paying customer, just using the free plan for a personal project. [0]…
gingerlime on HN
Apache PredictionIO
From 1 comment
Great job! Gorse reminds me of the now-retired Apache PredictionIO recommendation engine: https://predictionio.apache.org/templates/recommendation/quickstart/. Have you evaluated…
scoresmoke on HN