π’Personalized Recommended Frames
Given a list of FIDs, return a list of frame urls used by the extended trust network
Last updated
Given a list of FIDs, return a list of frame urls used by the extended trust network
Last updated
Discover high quality Frames (casts with frames) based on your personalized social graph. This ranking follows an approach very similar to the Global Frame Rankings endpoint described in the previous section, but the difference is that we replace the global graph with a personalized graph specific to the given profile. In other words, Frames are assigned scores that are weighted linear combination of the interactions and trust scores of profiles within a given profileβs personalized (Extended network) trust graph.
/frames/personalized/rankings/fids
Query via handles: /frames/personalized/rankings/handles [Try It!]
Given a list of input fids, return a list of frame urls used by the extended trust network of the input fids.
This API takes four optional parameters - agg
, weights
, k
and limit
.
Parameter agg
is used to define the aggregation function and
can take any of the following values - rms
, sumsquare
, sum
Parameter weights
is used to define the weights to be assigned
to like, cast and recast actions by profiles.
Parameter voting
is used to decide whether there is a single vote per neighbor
or multiple votes per neigbor when deriving the frames score.
Parameter k
is used to constrain the social graph to k-degrees of separation.
By default, agg=rms
, weights=L1C10R5
, voting=single
, k=2
and limit=100
.
/frames/personalized/rankings/fids
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