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AllSERP: Exhaustive Per-Element Enrichment of the Versatile AdSERP Dataset
arXiv cs.IR0 views
arXiv:2605.04949v4 Announce Type: replace Abstract: AdSERP is a public corpus of 2,776 search trials with eye gaze, cursor, scroll, pupil and click telemetry recorded on real Google result pages, together with the page screenshots and captured HTML. Its shipped bounding boxes cover only advertisements, which receive about 16 % of main-axis clicks. AllSERP adds a typed area-of-interest (AOI) layer for everything else: screenshot-anchored boxes for organic results, People-Also-Ask, image packs, local packs and other widgets, labelled from the captured HTML. Three typed flavours trade box tightness for coverage, from tight boxes to gap-filled boxes to per-card cells inside the top-ads carousel. The ad partition agrees with the shipped ad rectangles on all 38,250 comparisons, and box fidelity is measured on the full corpus with a DOM-based harness. Under the gap-filled flavour, 95.7 % of final clicks land in a typed main-axis AOI once cursor coordinates are converted into screenshot space. In a per-element inventory of clicks, fixations, regressions and above-fold exposure, attention and clicks dissociate by element type: 99.7 % of top-ads carousels are fixated but only 10 % of clicks land on them, and 44 % of People-Also-Ask boxes are fixated but only two clicks in the corpus land on one. We release the pipeline, per-trial JSON, corpus CSVs and a browser-based replay viewer.
Source:https://arxiv.org/abs/2605.04949PreviousNavigating Ideation Space: Decomposed Conceptual Representations for Positioning Scientific IdeasNextAn Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation
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