Recency Space
Classes
RecencySpace(timestamp: superlinked.framework.common.schema.schema_object.Timestamp | None | collections.abc.Sequence[superlinked.framework.common.schema.schema_object.Timestamp | None], time_period_hour_offset: datetime.timedelta = datetime.timedelta(0), period_time_list: list[superlinked.framework.common.dag.period_time.PeriodTime] | superlinked.framework.common.dag.period_time.PeriodTime | None = None, aggregation_mode: superlinked.framework.dsl.space.input_aggregation_mode.InputAggregationMode = InputAggregationMode.INPUT_AVERAGE, negative_filter: float = 0.0) : Recency space encodes timestamp type data measured in seconds and in unix timestamp format. Recency space is utilized to encode how recent items are. Use period_time_list to mark the time periods of interest. Items older than the largest period_time are going to have uniform recency score. (0 or negative_filter if set) You can use multiple period_times to give additional emphasis to sub time periods. Like using 2 days and 5 days gives extra emphasis to the first 2 days. The extent of which can be controlled with the respective weight parameters. Unit weights would give double emphasis on the first 2 days, 1 and 0.1 weights respectively would give tenfold importance to the first 2 days. All items older than 5 days would get 0 or negative_filter recency score. Negative_filter is useful for effectively filtering out entities that are older than the oldest period time. You can think of the value of negative_filter as it offsets that amount of similarity stemming from other spaces in the index. For example setting it -1 would offset any text similarity that has weight 1 - effectively filtering out all old items however similar they are in terms of their text.
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