Implicit Interaction Dataset

An Implicit Interaction Dataset is a interaction dataset with implicit feedback records.

• Context:
  • It can (typically) be biased.
  • …
• Example(s):
  • a Click-Through Log Dataset, of clickthrough records.
  • a Dwell Time Dataset, of dwell time records.
  • …
• Counter-Example(s):
  • Explicit Rating Dataset.
• See: Explicit Interaction Data, IR Task, User Relevance.

---

---

References

2017

• (Joachims, Swaminathan et al., 2017) ⇒ Thorsten Joachims, Adith Swaminathan, and Tobias Schnabel. (2017). “Unbiased Learning-to-Rank with Biased Feedback.” In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. ISBN:978-1-4503-4675-7 doi:10.1145/3018661.3018699
  • QUOTE: Implicit feedback (e.g., clicks, dwell times, etc.) is an abundant source of data in human-interactive systems. While implicit feedback has many advantages (e.g., it is inexpensive to collect, user centric, and timely), its inherent biases are a key obstacle to its effective use. For example, position bias in search rankings strongly influences how many clicks a result receives, so that directly using click data as a training signal in Learning-to-Rank (LTR) methods yields sub-optimal results. …

2017

• (Joachims, Granka et al., 2017) ⇒ Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, and Geri Gay. (2017). “Accurately Interpreting Clickthrough Data As Implicit Feedback.” In: ACM SIGIR Forum, 51(1).
  • QUOTE: … number of clicks, are indicative of user satisfaction with the search engine. In the following, we explore a new set of strategies for generating implicit feedback from clicks that was not considered by any of these previous studies …

---