Relevant term suggestion in interactive web search based on contextual information in query session logs

By Chien-Kang Huang, Lee-Feng Chien, Yen-Jen Oyang. J. Assoc. Inf. Sci. Technol., 2003

318 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/2289bbc55457e602dd6dfece8d96633bd327bad9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jun Xu
2. Hang Li
3. Yong Rui
4. Tao Mei
5. Winston H. Hsu
6. Tie-Yan Liu
7. Jiafeng Guo
8. Jimmy J. Lin

Citations in the corpus

• Learning to personalize trending image search suggestion (2014, background): “The first branch is session-based meth-ods, where the basic idea is that the queries co-occurring in the same sessions are the candidates for suggestion [2, 14].”
• Semantic Matching in Search (2014, methodology): “Other measures including cosine similarity and Jacaard similarity can also be used [89].”
• Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “The first approach considers queries as documents and extracts features of these queries that are related to the user’s initial query [118].”