Search: onr:"swepub:oai:research.chalmers.se:ee966743-8fd9-4956-879e-889ab65df329" > Scalable multi-dime...
Fältnamn | Indikatorer | Metadata |
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000 | 03105naa a2200421 4500 | |
001 | oai:research.chalmers.se:ee966743-8fd9-4956-879e-889ab65df329 | |
003 | SwePub | |
008 | 171007s2011 | |||||||||||000 ||eng| | |
020 | a 9781450309349 | |
024 | 7 | a https://doi.org/10.1145/2009916.20099712 DOI |
024 | 7 | a https://research.chalmers.se/publication/2162942 URI |
040 | a (SwePub)cth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a kon2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Jethava, Vinay,d 1982u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)jethava |
245 | 1 0 | a Scalable multi-dimensional user intent identification using tree structured distributions |
264 | c 2011-07-24 | |
264 | 1 | a New York, NY, USA :b ACM,c 2011 |
520 | a The problem of identifying user intent has received considerable attention in recent years, particularly in the context of improving the search experience via query contextualization. Intent can be characterized by multiple dimensions, which are often not observed from query words alone. Accurate identification of Intent from query words remains a challenging problem primarily because it is extremely difficult to discover these dimensions. The problem is often significantly compounded due to lack of representative training sample. We present a generic, extensible framework for learning the multi-dimensional representation of user intent from the query words. The approach models the latent relationships between facets using tree structured distribution which leads to an efficient and convergent algorithm, FastQ, for identifying the multi-faceted intent of users based on just the query words. We also incorporated WordNet to extend the system capabilities to queries which contain words that do not appear in the training data. Empirical results show that FastQ yields accurate identification of intent when compared to a gold standard. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
653 | a Chow-liu | |
653 | a FastQ | |
653 | a WordNet | |
653 | a Facets | |
653 | a Web search | |
653 | a Query intent | |
700 | 1 | a Calderón-Benavides, L.4 aut |
700 | 1 | a Baeza-Yates, R.A.u Yahoo Research Barcelona4 aut |
700 | 1 | a Bhattacharyya, C.u Indian Institute of Science4 aut |
700 | 1 | a Dubhashi, Devdatt,d 1965u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)dubhashi |
710 | 2 | a Chalmers tekniska högskolab Yahoo Research Barcelona4 org |
773 | 0 | t SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrievald New York, NY, USA : ACMg , s. 395-404q <395-404z 9781450309349 |
856 | 4 | u http://dx.doi.org/10.1145/2009916.2009971y FULLTEXT |
856 | 4 8 | u https://doi.org/10.1145/2009916.2009971 |
856 | 4 8 | u https://research.chalmers.se/publication/216294 |
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