Pointwise Information Retrieval Algorithm

A Pointwise Information Retrieval Algorithm is a data-driven information retrieval algorithm that ...

• Context:
  • It can be implemented by a Pointwise IR System (to solve a pointwise IR task).
  • …
• Counter-Example(s):
  • Pairwise IR Algorithm.
  • Listwise IR Algorithm.
• See: Data Driven Recommendations Task.

---

---

References

2009

• (Liu, 2009) ⇒ Tie-Yan Liu. (2009). “Learning to Rank for Information Retrieval.” In: Foundations and Trends in Information Retrieval Journal, 3(3). [http://dx.doi.org/10.1561/1500000016 doi:10.1561/1500000016
  • QUOTE: Learning to rank for Information Retrieval (IR) is a task to automatically construct a ranking model using training data, such that the model can sort new objects according to their degrees of relevance, preference, or importance. Many IR problems are by nature ranking problems, and many IR technologies can be potentially enhanced by using learning-to-rank techniques. The objective of this tutorial is to give an introduction to this research direction. Specifically, the existing learning-to-rank algorithms are reviewed and categorized into three approaches: the pointwise, pairwise, and listwise approaches.

---