Context-aware query suggestion by mining click-through and session data

By Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li. Knowledge Discovery and Data Mining, 2008

619 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/eda66713401c9d53a5572f1244b47b00e77d0117

How researchers see this paper

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

Situational Context for Ranking in Personal Search (2017, background): “In addition to ranking in web search, there are several other applications that successfully make use of query context, such as query auto-completion [41], query suggestion [8], query classiﬁcation [7], and query modiﬁcation [12].”
Persona-ization: Searching on Behalf of Others (2015, background): “A sampling of such work includes extracting short- and long-term topical profiles [7][5][12][10][14], using weighted termvectors based on long-term desktop activities [13], leveraging a user's location [2], and using the user's previous queries and clicks [4][3][11].”
Semantic Matching in Search (2014, background): “propose an efficient agglomerative clustering algorithm to achieve the goal, by leveraging the fact that a click-through graph is usually sparse (each node has a small number of edges associated) [39, 123].”
Web-Scale Distributional Similarity and Entity Set Expansion (2009, background): “…2003), word sense disambiguation (Yuret and Yatbaz 2009), context-spelling correction (Jones and Martin 1997), fact extraction (Pa ş ca et al. 2006), semantic role labeling (Erk 2007), and applications in IR such as query expansion (Cao et al. 2008) and textual advertising (Chang et al. 2009).”
Query Expansion Techniques for Information Retrieval: a Survey (2017, neutral): “References [75,218,56] extract the expansion terms directly from clicked results.”
Sequence-Aware Recommender Systems (2018, background): “rks. Examples include advertisement recommendation [121], news recommendation [32], job posting recommendation [91], the recommendation of videos in streaming platforms [46, 91], query recommendation [8, 18, 42, 102], or the recommendation of next activities to add during workflow modeling [59]. 3.5”
Recommender Systems (2016, neutral): “The work in [137] uses not just the current query, but the current session of queries as the context for the query suggestion.”