Results 31 to 40 of about 198,128 (343)
A competitive environment for exploratory query expansion [PDF]
Most information workers query digital libraries many times a day. Yet people have little opportunity to hone their skills in a controlled environment, or compare their performance with others in an objective way.
Milne, David N. +2 more
core +3 more sources
Exploring accumulative query expansion for relevance feedback [PDF]
For the participation of Dublin City University (DCU) in the Relevance Feedback (RF) track of INEX 2010, we investigated the relation between the length of relevant text passages and the number of RF terms.
D.E. Losada +5 more
core +1 more source
Construction of a 5G Wireless Semantic Web-Assisted English Digital Learning Resource Query System
Based on the 5G wireless semantic network, this paper realizes the construction of the English digital learning resources query system, providing the query and management functions for English digital learning resources, and realizes the integration of ...
Lili Liu
doaj +1 more source
Evidence combination for multi-point query learning in content-based image retrieval [PDF]
In multipoint query learning a number of query representatives are selected based on the positive feedback samples. The similarity score to a multipoint query is obtained from merging the individual scores.
Jose, J.M., Urban, J.
core +1 more source
Construction of artificial intelligence-assisted English learning resource query system
English has become an important tool for China's opening to the outside world and exchanges with other countries. More and more people have the motivation and requirements to learn English, but under the traditional English learning mode and traditional ...
Wenjing Yao, Ning Li
doaj +1 more source
WORD SENSE DISAMBIGUATION METHOD USING SEMANTIC SIMILARITY MEASURES AND OWA OPERATOR [PDF]
Query expansion (QE) is the process of reformulating a query to improve retrieval performance. Most of the times user's query contains ambiguous terms which adds relevant as well as irrelevant terms to the query after applying current query expansion ...
Kanika Mittal, Amita Jain
doaj
Improving automatic query expansion [PDF]
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via odhoc feedback improves the retrieval effectiveness of such queries. We investigate ways to improve this query expansion process by refining the set of documents used in feedback. We start by using manually formulated Boolean filters
Mandar Mitra +2 more
openaire +1 more source
A Query Understanding Framework for Earth Data Discovery
One longstanding complication with Earth data discovery involves understanding a user’s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data.
Yun Li +4 more
doaj +1 more source
This work addresses an alternative approach for query expansion (QE) using a generative adversarial network (GAN) to enhance the effectiveness of information search in e-commerce.
Altan Cakir, Mert Gurkan
doaj +1 more source
Cluster-based query expansion [PDF]
We demonstrate the merits of using document clusters that are created offline to improve the overall effectiveness and performance robustness of a state-of-the-art pseudo-feedback-based query expansion method -- the relevance model.
Inna Gelfer Kalmanovich, Oren Kurland
openaire +1 more source

