Product Offer Title
(Redirected from product offer titles)
A Product Offer Title is a title for a product offer.
- Context:
- It can be parsed by a Product Offer Parsing System (that solves a product offer parsing task).
- It can be found in a Product Offer Record, or a Product Offering Webpage, or ...
- It can (typically) contain a Product Title.
- It can mention an Offering Feature.
- It can contain a Product Category Term, Product Brand Term, Product Identifying Term, Product Feature Term, Product Line Term, ...
- It can range from being an Unannotated Product Offer Title to being an Annotated Product Offer Title.
- Example(s):
- “
Pro Digital Lens Hood for VIXIA HF S10, S100 Flash Camcorders (1-year wrty from e-sekuro)". - “
Sony VAIO Pro SVP13213CXS 13.3-Inch Core i5 Touchscreen Ultrabook (Carbon Silver)". - …
- “
- Counter-Example(s):
- See: Product Title, Priced Product Offer.
References
2017
- (Petrovski & Bizer, 2017) ⇒ Petar Petrovski, and Christian Bizer. (2017). “Extracting Attribute-value Pairs from Product Specifications on the Web.” In: Proceedings of the International Conference on Web Intelligence. ISBN:978-1-4503-4951-2 doi:10.1145/3106426.3106449
- QUOTE: Comparison shopping portals integrate product offers from large numbers of e-shops in order to support consumers in their buying decisions. Product offers often consist of a title and a free-text product description, both describing product attributes that are considered relevant by the specific vendor.
2014
- (Melli, 2014) ⇒ Gabor Melli. (2014). “Shallow Semantic Parsing of Product Offering Titles (for Better Automatic Hyperlink Insertion).” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623343
- QUOTE: With billions of database-generated pages on the Web where consumers can readily add priced product offerings to their virtual shopping cart, several opportunities will become possible once we can automatically recognize what exactly is being offered for sale on each page. We present a case study of a deployed data-driven system that first chunks individual titles into semantically classified sub-segments, and then uses this information to improve a hyperlink insertion.
2012
- (Köpcke et al., 2012) ⇒ Hanna Köpcke, Andreas Thor, Stefan Thomas, and Erhard Rahm. (2012). “Tailoring Entity Resolution for Matching Product Offers.” In: Proceedings of the 15th International Conference on Extending Database Technology. doi:10.1145/2247596.2247662