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Web-based recommendation systems are becoming increasingly popular.Systems ranging from those like Siteseer that use user's bookmarks as surrogates for preferences to those that provide content-based and collaborative recommendations are gaining user's attention.This study proposes a validated instrument to measure such constructs as perceived usefulness, perceived ease of use, perceived content quality, and perceived content provider credibility of recommendation systems.Also the study assesses the effect of determinants on the usage of recommendation systems based on the model derived from an extension of the Technology Acceptance Model.
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Stored only when both papers are in the corpus — 21 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.