Information Retrieval and Graph Analysis Approaches for Book Recommendation
A combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as InL2 (Divergence from Randomness model) and langua...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/926418 |
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| _version_ | 1832558777924059136 |
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| author | Chahinez Benkoussas Patrice Bellot |
| author_facet | Chahinez Benkoussas Patrice Bellot |
| author_sort | Chahinez Benkoussas |
| collection | DOAJ |
| description | A combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as InL2 (Divergence from Randomness model) and language model and tested their interpolated combination. Graph analysis algorithms such as PageRank have been successful in Web environments. We consider the application of this algorithm in a new retrieval approach to related document network comprised of social links. We called Directed Graph of Documents (DGD) a network constructed with documents and social information provided from each one of them. Specifically, this work tackles the problem of book recommendation in the context of INEX (Initiative for the Evaluation of XML retrieval) Social Book Search track. A series of reranking experiments demonstrate that combining retrieval models yields significant improvements in terms of standard ranked retrieval metrics. These results extend the applicability of link analysis algorithms to different environments. |
| format | Article |
| id | doaj-art-1683113dc60243cd996ef9aeb3a0ebe9 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-1683113dc60243cd996ef9aeb3a0ebe92025-02-03T01:31:31ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/926418926418Information Retrieval and Graph Analysis Approaches for Book RecommendationChahinez Benkoussas0Patrice Bellot1Aix-Marseille Université, CNRS, LSIS UMR 7296, 13397 Marseille, FranceAix-Marseille Université, CNRS, LSIS UMR 7296, 13397 Marseille, FranceA combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as InL2 (Divergence from Randomness model) and language model and tested their interpolated combination. Graph analysis algorithms such as PageRank have been successful in Web environments. We consider the application of this algorithm in a new retrieval approach to related document network comprised of social links. We called Directed Graph of Documents (DGD) a network constructed with documents and social information provided from each one of them. Specifically, this work tackles the problem of book recommendation in the context of INEX (Initiative for the Evaluation of XML retrieval) Social Book Search track. A series of reranking experiments demonstrate that combining retrieval models yields significant improvements in terms of standard ranked retrieval metrics. These results extend the applicability of link analysis algorithms to different environments.http://dx.doi.org/10.1155/2015/926418 |
| spellingShingle | Chahinez Benkoussas Patrice Bellot Information Retrieval and Graph Analysis Approaches for Book Recommendation The Scientific World Journal |
| title | Information Retrieval and Graph Analysis Approaches for Book Recommendation |
| title_full | Information Retrieval and Graph Analysis Approaches for Book Recommendation |
| title_fullStr | Information Retrieval and Graph Analysis Approaches for Book Recommendation |
| title_full_unstemmed | Information Retrieval and Graph Analysis Approaches for Book Recommendation |
| title_short | Information Retrieval and Graph Analysis Approaches for Book Recommendation |
| title_sort | information retrieval and graph analysis approaches for book recommendation |
| url | http://dx.doi.org/10.1155/2015/926418 |
| work_keys_str_mv | AT chahinezbenkoussas informationretrievalandgraphanalysisapproachesforbookrecommendation AT patricebellot informationretrievalandgraphanalysisapproachesforbookrecommendation |