Web Information Systems Engineering – WISE 2010 Workshops: by Hideyasu Sasaki (auth.), Dickson K. W. Chiu, Ladjel

By Hideyasu Sasaki (auth.), Dickson K. W. Chiu, Ladjel Bellatreche, Hideyasu Sasaki, Ho-fung Leung, Shing-Chi Cheung, Haiyang Hu, Jie Shao (eds.)

This booklet includes the conscientiously chosen and reviewed papers offered at 3 satellite tv for pc occasions that have been held along side the eleventh overseas convention on net details structures Engineering, clever 2010, in Hong Kong, China, in December 2010.

The assortment contains a complete of forty contributions that originate from the 1st overseas Symposium on net clever structures and providers (WISS 2010), from the 1st foreign Workshop on Cloud info platforms Engineering (CISE 2010) and from the second one overseas Workshop on cellular enterprise Collaboration (MBC 2010). The papers deal with a variety of sizzling subject matters and are geared up in topical sections on: determination and e-markets; ideas and XML; net carrier intelligence; semantics and providers; interpreting net assets; engineering net platforms; clever internet purposes; internet groups and personalization; cloud info method engineering; cellular enterprise collaboration.

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The similarity between and is calculated using the cosine similarity function as follows: , ∑ ∑ ∑ Where and is the user’s preference to each attribute value for an active user and a previous user, respectively. One of the previous users who has the highest similarity value with the active user is selected as the active user’s neighbour, . 5 Products Recommendation When an active user’s neighbour has been identified, the session , ,… for this user is used to get products that have been viewed by this user to expand the active user’s query.

The possibility of being a long session for a session with a large length is greater than a session with a small length, and a set of cars with multiple different IDs can be considered more diverse than a set of cars with the same ID. In this part of evaluation, we want to investigate whether or not the length of the session influences the performance of the search models. The length of the session in runs R6 to R2 decreases, which means, the diversity of the cars from R6 to R2 decreases. R1 uses sessions of varying lengths.

The similarity between and is calculated using the cosine similarity function as follows: , ∑ ∑ ∑ Where and is the user’s preference to each attribute value for an active user and a previous user, respectively. One of the previous users who has the highest similarity value with the active user is selected as the active user’s neighbour, . 5 Products Recommendation When an active user’s neighbour has been identified, the session , ,… for this user is used to get products that have been viewed by this user to expand the active user’s query.

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