Publications by Martin Rajman | EPFL Graph Search

Nano-Tera.ch: Information Technology for Health, Environment, and Energy

Giovanni De Micheli, Martin Rajman, Patrick Mayor

Bettering human health care and creating a sustainable environment through monitoring and smart energy usage are primary goals of advanced societies. To this purpose, the Swiss Government, through the State Secretariat for Education, Research, and Innovati ...

Ieee-Inst Electrical Electronics Engineers Inc2017

CoFeed: privacy-preserving Web search recommendation based on collaborative aggregation of interest feedback

Martin Rajman, Vinh Toan Luu, Pascal Felber

Search engines essentially rely on the structure of the graph of hyperlinks. Although accurate for the main trend, this is not effective when some query is ambiguous. Leveraging semantic information by the mean of interest matching allows proposing complem ...

Wiley-Blackwell2013

Query-Driven Indexing for Scalable Peer-to-Peer Text Retrieval

Karl Aberer, Martin Rajman, Gleb Skobeltsyn, Vinh Toan Luu, Ivana Podnar

We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been identified as the major problem for the standard P2P approach with single term i ...

2009

Query-Driven Indexing for Scalable Peer-to-Peer Text Retrieval

Karl Aberer, Martin Rajman, Gleb Skobeltsyn, Vinh Toan Luu, Ivana Podnar

In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...

2009

AlvisP2P: Scalable Peer-to-Peer Text Retrieval in a Structured P2P Network

Karl Aberer, Martin Rajman, Fabius Klemm, Vinh Toan Luu, Gleb Skobeltsyn, Ivana Podnar

In this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such a network, each peer publishes its local index and invests a part of its loc ...

2008

Using Bibliographic Knowledge for Ranking in Scientific Publication Databases

Martin Rajman, Martin Veselý

Document ranking for scientific publications involves a variety of specialized resources (e.g. author or citation indexes) that are usually difficult to use within standard general purpose search engines that usually operate on large-scale heterogeneous do ...

IOS2008

Query-Driven Indexing for Peer-to-Peer Text Retrieval

Karl Aberer, Martin Rajman, Gleb Skobeltsyn, Vinh Toan Luu, Ivana Podnar

We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as the major obstacle for full-text retrieval in P2P networks, we truncate posti ...

2007

Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys

Karl Aberer, Martin Rajman, Fabius Klemm, Vinh Toan Luu, Ivana Podnar

The suitability of peer-to-peer (P2P) approaches for full-text Web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retrieval from very large document collections. In this contribution we formalize ...

IEEE2007

Web Text Retrieval with a P2P Query-Driven Index

Karl Aberer, Martin Rajman, Gleb Skobeltsyn, Vinh Toan Luu, Ivana Podnar

In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...

2007

Explicit Trade-off and Prospective Analysis in Electronic Catalogs

Martin Rajman, David Portabella Clotet

We consider example-critiquing systems that help people search for their most preferred item in a large electronic catalog. We analyze how such systems can help users in the framework of four existing example-critiquing approaches (RABBIT, FindMe, Incremen ...

2006