This paper provides a formal speciication in Z of a new intelligent hypertext model called the soft-link hypertext model (SLHM). This model has been implemented and extensively tested, and provides a new methodology for constructing the future generation of information retrieval systems. Its core is the adoption of a data structure called the conceptual index, which allows hypertext structure t...

Practical information retrieval is pervaded by Boolean variety as much as it is by term selection. One of the problems of building models that describe IR is therefore that of characterising the effect of Boolean variety on retrieval performance. An approach to this problem is described based on the use of vectors to characterise retrieval performance and focusing on the changes in direction an...

One of the main issues in the field of information retrieval is to bridge the terminological gap existing between the way in which users specify their information needs and the way in which queries are expressed. One of the approaches for this purpose, called Rule Based Information Retrieval by Computer (RUBRIC), involves the use of production rules to capture user query concepts (or topics). I...

The MyView system aims at gathering bibliograph-ic information from a diversity of heterogeneous distributed Internet repositories like electronic journals and traditional libraries. It maintains a personalized warehouse for bibliographic data in a uniied scheme which is locally available for browsing, ad-hoc queries, rearrangements and analysis. On the one hand, users should be able to specify...

We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality indicators: textual and microblog specific. Additionally, we propose a dynamic query expansion mo...

This paper describes the methods used for our participation to the CLEF (Conference and Labs of the Evaluation Forum) eHealth 2016 Task 3: Patient-Centered Information Retrieval, IRTask 1: ad-hoc search. For this participation, we evaluate the effectiveness of three different retrieval strategies. In particular, we deploy PL2 with Boolean Fallback as our baseline system. In another approach, we...

We have enhanced the fuzzy set model by replacing MIN and MAX operators with binary positively compensatory operators. Though the binary operators provide higher retrieval eeectiveness, they can give diierent document values for logically equivalent queries, e.g. t1 AND (t2 AND t3) and (t1 AND t2) AND t3. This is because they do not satisfy the basic boolean processing laws such as distributive...

This paper describes the retrieval approach that UC Berkeley used in the 2003 INEX evaluation. As in last year’s INEX, our primary approach is the combination of a probabilistic methods using a Logistic regression algorithm for estimation of document (article) relevance and/or element relevance, along with Boolean constraints. This year we also used data fusion techniques to combine results fro...

The hybridisation of different classification and mining techniques coming from different areas such as the numeric and the symbolic worlds can produce a significant enhancement of the overall classification and retrieval performance in a Data Mining or Information Retrieval context. This paper introduces an experimental methodology to match an explicative structure issued from a symbolic class...

We study generalized restricted Boltzmann machines with generic priors for units and weights, interpolating between Boolean and Gaussian variables. We present a complete analysis of the replica symmetric phase diagram of these systems, which can be regarded as generalized Hopfield models. We underline the role of the retrieval phase for both inference and learning processes and we show that ret...