TY - GEN
T1 - An object-oriented modeling of the history of optimal retrievals
AU - Zhang, Yong
AU - Raghavan, Vijay V.
AU - Deogun, Jitender S.
N1 - Publisher Copyright:
© 1991 ACM. All rights reserved.
PY - 1991/9/1
Y1 - 1991/9/1
N2 - Learning techniques are used in IR to exploit user feedback in order that the system can improve its performance with respect to particular queries. This process involves the construction of an optimal query that best separates the documents known to be relevant from those that are not. Since obtaining relevance judgments and constructing an optimal query involve a great deal of effort, in this paper, we develop a framework for organizing the history of optimal retrievals. The framework involves the identification of a hierarchy of document classes such that the concepts corresponding to higher level classes are more general than those of the lower level classes. The ways in which such a hierarchy may be used to retrieve answers to new queries are outlined. This approach has the advantage that the query specification is concept-based, where as the retrieval mechanism is numerically-oriented involving optimal query vectors. It is shown that the construction of a hierarchy of optimal queries can correspond to an object-oriented modeling of IR objects. Furthermore, the resulting model can be easily implemented using a relational DBMS.
AB - Learning techniques are used in IR to exploit user feedback in order that the system can improve its performance with respect to particular queries. This process involves the construction of an optimal query that best separates the documents known to be relevant from those that are not. Since obtaining relevance judgments and constructing an optimal query involve a great deal of effort, in this paper, we develop a framework for organizing the history of optimal retrievals. The framework involves the identification of a hierarchy of document classes such that the concepts corresponding to higher level classes are more general than those of the lower level classes. The ways in which such a hierarchy may be used to retrieve answers to new queries are outlined. This approach has the advantage that the query specification is concept-based, where as the retrieval mechanism is numerically-oriented involving optimal query vectors. It is shown that the construction of a hierarchy of optimal queries can correspond to an object-oriented modeling of IR objects. Furthermore, the resulting model can be easily implemented using a relational DBMS.
UR - http://www.scopus.com/inward/record.url?scp=85033838088&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033838088&partnerID=8YFLogxK
U2 - 10.1145/122860.122885
DO - 10.1145/122860.122885
M3 - Conference contribution
AN - SCOPUS:85033838088
SN - 0897914481
SN - 9780897914482
T3 - Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
SP - 241
EP - 250
BT - Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
PB - Association for Computing Machinery, Inc
T2 - 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991
Y2 - 13 October 1991 through 16 October 1991
ER -