Cross-Document Search Engine For Book Recommendation

A new combination of multiple Information Retrieval approaches are proposed for book recommendation based on complex users’ queries. We used different theoretical retrieval models: probabilistic as InL2 (Divergence From Randomness model) and language models and tested their interpolated combination. We considered the application of a graph based 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 CLEF Labs precisely Social Book Search track. We established a specific strategy for queries searching after separating query set into two genres “Analogue” and “Non-Analogue” after analyzing users’ needs. Series of reranking experiments demonstrate that combining retrieval models and exploiting linked documents for retr...

• Type: Journal
• Year: 2015
• Where: RECSYS
• Authors: Chahinez Benkoussas, Patrice Bellot
• Keywords: Control Systems, RECSYS 2015