Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
A critical investigation of recall and precision as measures of retrieval system performance
ACM Transactions on Information Systems (TOIS)
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on history of information science
A vector space model for automatic indexing
Communications of the ACM
Feature-Oriented vs. Needs-Oriented Product Access for Non-Expert-Online Shoppers
I3E '01 Proceedings of the IFIP Conference on Towards The E-Society: E-Commerce, E-Business, E-Government
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Text Classification without Negative Examples Revisit
IEEE Transactions on Knowledge and Data Engineering
Query relaxation using malleable schemas
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Web Intelligence and Agent Systems
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
Using Wikipedia to bootstrap open information extraction
ACM SIGMOD Record
Exploiting web search engines to search structured databases
Proceedings of the 18th international conference on World wide web
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Explicit versus latent concept models for cross-language information retrieval
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Structured annotations of web queries
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Keyword++: a framework to improve keyword search over entity databases
Proceedings of the VLDB Endowment
Conceptual views for entity-centric search: turning data into meaningful concepts
Computer Science - Research and Development
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The Web has become the primary source of information containing both structured and unstructured information. A good example is e-commerce where products are usually described by technical specifications structured data and textual user reviews unstructured data. Both sources of information complement each other, covering quantifiable as well as perceived aspects of each product. In fact, for most searches users will have more or less abstract concepts in mind, as opposed to clear cut categorical information. In this paper, we develop a novel approach to reveal implicit product features for querying, by combining structured product data with natural-language product reviews. Using a self-supervised learning technique we progressively build a query-aware representation of the product domain under consideration. This representation can then effectively be used for intuitive querying. We performed extensive experiments confirming the effectiveness of our approach over real world product data. In particular, our evaluations show vastly improved precision and recall over the respective IR techniques.