Location Aware Keyword Query Suggestion Based on Document Proximity Article Swipe
Shuyao Qi
,
Dingming Wu
,
Nikos Mamoulis
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1109/tkde.2015.2465391
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1109/tkde.2015.2465391
Keyword suggestion in web search helps users to access relevant information without having to know how to precisely express their queries. Existing keyword suggestion techniques do not consider the locations of the users and the query results; i.e., the spatial proximity of a user to the retrieved results is not taken as a factor in the recommendation. However, the relevance of search results in many applications (e.g., location-based services) is known to be correlated with their spatial proximity to the query issuer. In this paper, we design a location-aware keyword query suggestion framework. We propose a weighted keyword-document graph, which captures both the semantic relevance between keyword queries and the spatial distance between the resulting documents and the user location. The graph is browsed in a random-walk-with-restart fashion, to select the keyword queries with the highest scores as suggestions. To make our framework scalable, we propose a partition-based approach that outperforms the baseline algorithm by up to an order of magnitude. The appropriateness of our framework and the performance of the algorithms are evaluated using real data.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tkde.2015.2465391
- OA Status
- green
- Cited By
- 21
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2188608551
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2188608551Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tkde.2015.2465391Digital Object Identifier
- Title
-
Location Aware Keyword Query Suggestion Based on Document ProximityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-08-13Full publication date if available
- Authors
-
Shuyao Qi, Dingming Wu, Nikos MamoulisList of authors in order
- Landing page
-
https://doi.org/10.1109/tkde.2015.2465391Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://zenodo.org/record/3453302Direct OA link when available
- Concepts
-
Computer science, Information retrieval, Relevance (law), Keyword search, Web search query, Scalability, Partition (number theory), Graph, Query expansion, Keyword density, Data mining, Search engine, Database, Theoretical computer science, Law, Mathematics, Combinatorics, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
21Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 1, 2021: 4, 2020: 2Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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