2009 QueryResultClusteringforObjectL
- (Lee et al., 2009) ⇒ Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, and Ji-Rong Wen. (2009). “Query Result Clustering for Object-level Search.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557149
Subject Headings:
Notes
- Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Clustering; H.3.4 Systems and [[Software]: Performance evaluation.
- General Terms: Algorithms
Cited By
- http://scholar.google.com/scholar?q=%22Query+result+clustering+for+object-level+search%22+2009
- http://portal.acm.org/citation.cfm?doid=1557019.1557149&preflayout=flat#citedby
Quotes
Author Keywords
Object-level Search, Subspace Clustering
Abstract
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing the query results for object-level search. Object-level search result clustering is challenging because we need to support diverse similarity notions over object-specific features (such as the price and weight of a product) of heterogeneous domains. To address this challenge, we propose a hybrid subspace clustering algorithm called Hydra. Algorithm Hydra captures the user perception of diverse similarity notions from millions of Web pages and disambiguates different senses using feature-based subspace locality measures. Our proposed solution, by combining wisdom of crowds and wisdom of data, achieves robustness and efficiency over existing approaches. We extensively evaluate our proposed framework and demonstrate how to enrich user experiences in object-level search using a real-world product search scenarios.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2009 QueryResultClusteringforObjectL | Ji-Rong Wen Jongwuk Lee Seung-won Hwang Zaiqing Nie | Query Result Clustering for Object-level Search | KDD-2009 Proceedings | 10.1145/1557019.1557149 | 2009 |